Energy models for demand forecasting—A review

[1]  Y. Bor,et al.  The long-term forecast of Taiwan’s energy supply and demand: LEAP model application , 2011 .

[2]  A. Belke,et al.  Energy consumption and economic growth: New insights into the cointegration relationship , 2011 .

[3]  Perry Sadorsky,et al.  Trade and energy consumption in the Middle East , 2011 .

[4]  Li-Hsing Shih,et al.  Forecasting of electricity costs based on an enhanced gray-based learning model: A case study of renewable energy in Taiwan , 2011 .

[5]  Jian Liu,et al.  Path towards achieving of China's 2020 carbon emission reduction target—A discussion of low-carbon energy policies at province level , 2011 .

[6]  Jaume Rosselló,et al.  Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain , 2011 .

[7]  N. Bigdeli,et al.  Data analysis and short term load forecasting in Iran electricity market using singular spectral analysis (SSA) , 2011 .

[8]  S. Jomnonkwao,et al.  Projection of future transport energy demand of Thailand , 2011 .

[9]  Zheng Hu,et al.  Study on China's low carbon development in an Economy–Energy–Electricity–Environment framework , 2011 .

[10]  Murat Kankal,et al.  Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables , 2011 .

[11]  Consolación Gil,et al.  Optimization methods applied to renewable and sustainable energy: A review , 2011 .

[12]  H. Pao,et al.  Modeling and forecasting the CO 2 emissions, energy consumption, and economic growth in Brazil , 2011 .

[13]  Emmanouil Hatzigeorgiou,et al.  CO2 emissions, GDP and energy intensity: A multivariate cointegration and causality analysis for Greece, 1977–2007 , 2011 .

[14]  Abdul Jalil,et al.  The impact of growth, energy and financial development on the environment in China: A cointegration analysis , 2011 .

[15]  Mikael Höök,et al.  Forecasting the growth of Chinas natural gas consumption , 2011 .

[16]  D. Niu,et al.  Annual electricity consumption analysis and forecasting of China based on few observations methods , 2011 .

[17]  Wai Ming To,et al.  The causal relationship between electricity consumption and economic growth in a Gaming and Tourism Center: The case of Macao SAR, the People’s Republic of China , 2010, Energy.

[18]  F. Lescaroux,et al.  Dynamics of final sectoral energy demand and aggregate energy intensity , 2011 .

[19]  Ömer Nezih Gerek,et al.  A novel modeling approach for hourly forecasting of long-term electric energy demand , 2011 .

[20]  U. K. Rout,et al.  Energy and emissions forecast of China over a long-time horizon , 2011 .

[21]  Furong Li,et al.  Energy-saving decomposition and power consumption forecast: The case of liaoning province in China , 2011 .

[22]  Lee-Ing Tong,et al.  Forecasting energy consumption using a grey model improved by incorporating genetic programming , 2011 .

[23]  Emmanuel Ziramba,et al.  Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis , 2010 .

[24]  Luis A. Gil-Alana,et al.  Does energy consumption by the US electric power sector exhibit long memory behavior , 2010 .

[25]  V. Bianco,et al.  Analysis and forecasting of nonresidential electricity consumption in Romania , 2010 .

[26]  Andres A. Gallo,et al.  What is behind the increase in oil prices? Analyzing oil consumption and supply relationship with oil price , 2010 .

[27]  Wei-Chiang Hong,et al.  Application of chaotic ant swarm optimization in electric load forecasting , 2010 .

[28]  Jian Wang,et al.  Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks , 2010 .

[29]  Ram M. Shrestha,et al.  Energy and environmental implications of carbon emission reduction targets: Case of Kathmandu Valley, Nepal , 2010 .

[30]  Ian T. Nabney,et al.  Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models , 2010 .

[31]  Stephan Popp,et al.  Energy consumption at the state level: The unit root null hypothesis from Australia , 2010 .

[32]  Y. Yamaguchi,et al.  Prediction of greenhouse gas reduction potential in Japanese residential sector by residential energy end-use model , 2010 .

[33]  A. Belke,et al.  Energy Consumption and Economic Growth - New Insights into the Cointegration Relationship , 2010 .

[34]  Karoliina Pilli-Sihvola,et al.  Climate change and electricity consumption--Witnessing increasing or decreasing use and costs? , 2010 .

[35]  Serhat Kucukali,et al.  Turkey’s short-term gross annual electricity demand forecast by fuzzy logic approach , 2010 .

[36]  N. Odhiambo.  Energy consumption, prices and economic growth in three SSA countries: A comparative study , 2010 .

[37]  Mei-Se Chien,et al.  Dynamic modelling of energy consumption, capital stock, and real income in G-7 countries , 2010 .

[38]  Rabia Shabbir,et al.  Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model , 2010 .

[39]  Pablo del Río,et al.  Structural analysis of electricity consumption by productive sectors. The Spanish case , 2010 .

[40]  S. Bhattacharyya,et al.  Modelling energy demand of developing countries: Are the specific features adequately captured? , 2010 .

[41]  Haiyan Lu,et al.  Combined modeling for electric load forecasting with adaptive particle swarm optimization , 2010 .

[42]  Ujjwal Kumar,et al.  Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India , 2010 .

[43]  Didem Cinar,et al.  Development of future energy scenarios with intelligent algorithms: Case of hydro in Turkey , 2010 .

[44]  Brian Vad Mathiesen,et al.  A review of computer tools for analysing the integration of renewable energy into various energy systems , 2010 .

[45]  Devendra K. Chaturvedi,et al.  Short-Term Load Forecasting Using Soft Computing Techniques , 2010, Int. J. Commun. Netw. Syst. Sci..

[46]  H. Madsen,et al.  On the market impact of wind energy forecasts , 2010 .

[47]  Theodoros Zachariadis,et al.  Forecast of Electricity Consumption in Cyprus up to the Year 2030: The Potential Impact of Climate Change , 2010 .

[48]  Carlos Maté,et al.  Electric power demand forecasting using interval time series: A comparison between VAR and iMLP , 2010 .

[49]  N. K. Bansal,et al.  Allocation of energy resources for power generation in India: Business as usual and energy efficiency , 2010 .

[50]  Lambros Ekonomou,et al.  Greek long-term energy consumption prediction using artificial neural networks , 2010 .

[51]  Seema Singh,et al.  Forecasting of Short-Term Electric Load Using Application of Wavelets with Feed-Forward Neural Networks , 2010 .

[52]  Roula Inglesi,et al.  Aggregate electricity demand in South Africa: Conditional forecasts to 2030 , 2010 .

[53]  C. Kang,et al.  Input-output table of electricity demand and its application , 2010 .

[54]  J. E. Payne,et al.  The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states , 2010 .

[55]  V. Chandran,et al.  Electricity consumption–growth nexus: The case of Malaysia , 2010 .

[56]  M. R. AlRashidi,et al.  LONG TERM ELECTRIC LOAD FORECASTING BASED ON PARTICLE SWARM OPTIMIZATION , 2010 .

[57]  Zaipu Tao,et al.  Scenarios of China's oil consumption per capita (OCPC) using a hybrid Factor Decomposition–System Dynamics (SD) simulation , 2010 .

[58]  Ali Doustmohammadi,et al.  Modeling and estimation of the natural gas consumption for residential and commercial sectors in Iran , 2010 .

[59]  Marcelo A. Arbex,et al.  Solow meets Leontief: Economic growth and energy consumption , 2010 .

[60]  Linyan Sun,et al.  The relationship between energy consumption structure, economic structure and energy intensity in China , 2009 .

[61]  Amit Jain,et al.  Short term load forecasting using fuzzy adaptive inference and similarity , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[62]  Yaobin Liu,et al.  Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model) , 2009 .

[63]  Jianzhou Wang,et al.  A trend fixed on firstly and seasonal adjustment model combined with the ε-SVR for short-term forecasting of electricity demand , 2009 .

[64]  Diego J. Pedregal,et al.  Modelling demand for crude oil products in Spain , 2009 .

[65]  Adnan Sözen,et al.  Future projection of the energy dependency of Turkey using artificial neural network , 2009 .

[66]  Harun Kemal Ozturk,et al.  Modeling and prediction of Turkey’s electricity consumption using Artificial Neural Networks , 2009 .

[67]  William E. Roper,et al.  Energy demand estimation of South Korea using artificial neural network , 2009 .

[68]  Perry Sadorsky.  Renewable energy consumption and income in emerging economies , 2009 .

[69]  Hsiao-Tien Pao,et al.  Forecasting energy consumption in Taiwan using hybrid nonlinear models , 2009 .

[70]  M. Zhang,et al.  Forecasting the transport energy demand based on PLSR method in China , 2009 .

[71]  V. Bianco,et al.  Electricity consumption forecasting in Italy using linear regression models , 2009 .

[72]  Nicholas M. Odhiambo,et al.  Electricity consumption and economic growth in South Africa: A trivariate causality test , 2009 .

[73]  Sue J. Lin,et al.  The forecast of motor vehicle, energy demand and CO2 emission from Taiwan's road transportation sector , 2009 .

[74]  Russell Smyth,et al.  Long memory in US disaggregated petroleum consumption: Evidence from univariate and multivariate LM tests for fractional integration , 2009 .

[75]  Y. Xi,et al.  Comprehensive evaluation of household indirect energy consumption and impacts of alternative energy policies in China by input-output analysis , 2009 .

[76]  Jamal O. Jaber,et al.  Residential past and future energy consumption: Potential savings and environmental impact , 2009 .

[77]  Krzysztof Siwek,et al.  Ensemble Neural Network Approach for Accurate Load Forecasting in a Power System , 2009, Int. J. Appl. Math. Comput. Sci..

[78]  Perry Sadorsky.  Renewable energy consumption, CO2 emissions and oil prices in the G7 countries , 2009 .

[79]  Wei-Chiang Hong,et al.  Electric load forecasting by support vector model , 2009 .

[80]  Hossein Shayeghi,et al.  Intelligent Neural Network Based STLF , 2009 .

[81]  Aycan Hepsag,et al.  The application of seasonal latent variable in forecasting electricity demand as an alternative method , 2009 .

[82]  Omar Badran,et al.  A fuzzy inference model for short-term load forecasting , 2009 .

[83]  Salah Abosedra,et al.  Electricity consumption and economic growth, the case of Lebanon , 2009 .

[84]  R. Kannan,et al.  Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches , 2009 .

[85]  M. Duran Toksarı,et al.  Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey , 2009 .

[86]  Nicholas M. Odhiambo,et al.  Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach , 2009 .

[87]  Ryohei Yokoyama,et al.  Prediction of energy demands using neural network with model identification by global optimization , 2009 .

[88]  Wei-Chiang Hong,et al.  Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model , 2009 .

[89]  Erkan Erdogdu,et al.  Natural gas demand in Turkey , 2009 .

[90]  Bo Zhong,et al.  BP neural network with rough set for short term load forecasting , 2009, Expert Syst. Appl..

[91]  J. Dorian,et al.  Growing Chinese coal use: dramatic resource and environmental implications , 2008 .

[92]  Peter K.C. Wong,et al.  Modelling and short-term forecasting of daily peak power demand in Victoria using two-dimensional wavelet based SDP models , 2008 .

[93]  Eva Gonzalez-Romera,et al.  Monthly electric energy demand forecasting with neural networks and Fourier series , 2008 .

[94]  Jiahai Yuan,et al.  Energy consumption and economic growth : Evidence from China at both aggregated and disaggregated levels , 2008 .

[95]  Ranjith Perera,et al.  Understanding energy consumption pattern of households in different urban development forms: A comparative study in Bandung City, Indonesia , 2008 .

[96]  Mousa S. Mohsen,et al.  Modeling and forecasting of electrical power demands for capacity planning , 2008 .

[97]  Farshid Keynia,et al.  Mid-term load forecasting of power systems by a new prediction method , 2008 .

[98]  Francisco de A. T. de Carvalho,et al.  Forecasting models for interval-valued time series , 2008, Neurocomputing.

[99]  Chen Wenying,et al.  The future of natural gas consumption in Beijing, Guangdong and Shanghai: An assessment utilizing MARKAL , 2008 .

[100]  Mario Lucas,et al.  Rural household energy consumption and its impacts on eco-environment in Tibet: Taking Taktse county as an example , 2008 .

[101]  Lambros Ekonomou,et al.  Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models , 2008 .

[102]  Marie Bessec,et al.  The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach , 2008 .

[103]  M. C. Mabel,et al.  Growth and future trends of wind energy in India , 2008 .

[104]  Ali Azadeh,et al.  Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors , 2008 .

[105]  A. Kazemi,et al.  Day-ahead price forecasting in restructured power systems using artificial neural networks , 2008 .

[106]  Sue J. Lin,et al.  Grey relation analysis of motor vehicular energy consumption in Taiwan , 2008 .

[107]  Lalit Mohan Saini,et al.  Peak load forecasting using Bayesian regularization, Resilient and adaptive backpropagation learning based artificial neural networks , 2008 .

[108]  Halim Ceylan,et al.  Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey , 2008 .

[109]  Alper Ünler,et al.  Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025 , 2008 .

[110]  Petr Stluka,et al.  Decision support tools for advanced energy management , 2008 .

[111]  Mohammad Reza Amin-Naseri,et al.  Combined use of unsupervised and supervised learning for daily peak load forecasting , 2008 .

[112]  Shu Fan,et al.  Machine learning based switching model for electricity load forecasting , 2008 .

[113]  Yochanan Shachmurove,et al.  Modeling and forecasting energy consumption in China: Implications for Chinese energy demand and imports in 2020 , 2008 .

[114]  Wai Ming To,et al.  Modeling of electricity consumption in the Asian gaming and tourism center—Macao SAR, People's Republic of China , 2008 .

[115]  Philippe Lauret,et al.  Bayesian neural network approach to short time load forecasting , 2008 .

[116]  Lester C. Hunt,et al.  Electricity demand for Sri Lanka : A time series analysis , 2008 .

[117]  V. Ismet Ugursal,et al.  Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector , 2008 .

[118]  Willem P. Nel,et al.  A critical review of IEA's oil demand forecast for China , 2008 .

[119]  Mohammed E. El-Telbany,et al.  Short-term forecasting of Jordanian electricity demand using particle swarm optimization , 2008 .

[120]  J. C. Lam,et al.  Seasonal variations in residential and commercial sector electricity consumption in Hong Kong , 2008 .

[121]  Arti Prasad,et al.  Electricity consumption-real GDP causality nexus: Evidence from a bootstrapped causality test for 30 OECD countries , 2008 .

[122]  Li-Chih Ying,et al.  Using adaptive network based fuzzy inference system to forecast regional electricity loads , 2008 .

[123]  E. Al-Judaibi,et al.  One Hour Ahead Load Forecasting Using Artificial Neural Network for the Western Area of Saudi Arabia , 2008 .

[124]  Jamal O. Jaber,et al.  Electricity consumption and associated GHG emissions of the Jordanian industrial sector : Empirical analysis and future projection , 2008 .

[125]  Sandip Deshmukh,et al.  Modeling of hybrid renewable energy systems , 2008 .

[126]  Harun Kemal Ozturk,et al.  Application of Genetic Algorithm (GA) Technique on Demand Estimation of Fossil Fuels in Turkey , 2008 .

[127]  Adnan Sözen,et al.  Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies , 2007 .

[128]  H. P. Garg,et al.  Energy-related emissions and mitigation opportunities from the household sector in Delhi , 2007 .

[129]  C. Wang,et al.  Scenario analysis on CO2 emissions reduction potential in China's electricity sector , 2007 .

[130]  Chun-Ping Chang,et al.  The impact of energy consumption on economic growth: Evidence from linear and nonlinear models in Taiwan , 2007 .

[131]  Jorge Islas,et al.  A prospective study of bioenergy use in Mexico , 2007 .

[132]  Leo Moseley,et al.  Energy consumption and projected growth in selected Caribbean countries , 2007 .

[133]  Jiahai Yuan,et al.  Electricity consumption and economic growth in China: Cointegration and co-feature analysis , 2007 .

[134]  Kees van Montfort,et al.  Energy consumption and GDP in Turkey: is there a co-integration relationship? , 2007 .

[135]  Xiping Wang,et al.  Grey prediction with rolling mechanism for electricity demand forecasting of Shanghai , 2007, 2007 IEEE International Conference on Grey Systems and Intelligent Services.

[136]  Ali Azadeh,et al.  INTEGRATION OF GENETIC ALGORITHM, COMPUTER SIMULATION AND DESIGN OF EXPERIMENTS FOR FORECASTING ELECTRICAL ENERGY CONSUMPTION , 2007 .

[137]  Adnan Sözen,et al.  Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey , 2007 .

[138]  Jyoti K. Parikh,et al.  Demand projections of petroleum products and natural gas in India , 2007 .

[139]  J. Ang.  CO2 emissions, energy consumption, and output in France , 2007 .

[140]  Diyar Akay,et al.  Grey prediction with rolling mechanism for electricity demand forecasting of Turkey , 2007 .

[141]  Kelvin K. W. Yau,et al.  Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks , 2007 .

[142]  Russell Smyth,et al.  Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities , 2007 .

[143]  M. Toksari.  Ant colony optimization approach to estimate energy demand of Turkey , 2007 .

[144]  Xingjun Zhao,et al.  Determinants of China's energy imports: An empirical analysis , 2007 .

[145]  Sergio M. Miranda-da-Cruz,et al.  A model approach for analysing trends in energy supply and demand at country level: Case study of industrial development in China , 2007 .

[146]  Paul A. Steenhof,et al.  Scenario development in China's electricity sector , 2007 .

[147]  Fabio Gori,et al.  Forecast of oil price and consumption in the short term under three scenarios: Parabolic, linear and chaotic behaviour , 2007 .

[148]  Paul A. Steenhof,et al.  Factors affecting electricity generation in China: Current situation and prospects , 2007 .

[149]  Pei-Fen Chen,et al.  Is energy consumption per capita broken stationary? New evidence from regional-based panels , 2007 .

[150]  L. Hằng,et al.  The impacts of energy prices on energy intensity: Evidence from China , 2007 .

[151]  S. Mirasgedis,et al.  Modeling framework for estimating impacts of climate change on electricity demand at regional level: Case of Greece , 2007 .

[152]  P. J. Santos,et al.  Designing the input vector to ANN-based models for short-term load forecast in electricity distribution systems , 2007 .

[153]  Eva González Romera,et al.  Forecasting of the electric energy demand trend and monthly fluctuation with neural networks , 2007, Comput. Ind. Eng..

[154]  Yi-Ming Wei,et al.  Can market oriented economic reforms contribute to energy efficiency improvement? Evidence from China , 2007 .

[155]  Ali Azadeh,et al.  Forecasting electrical consumption by integration of Neural Network, time series and ANOVA , 2007, Appl. Math. Comput..

[156]  V. Ediger,et al.  ARIMA forecasting of primary energy demand by fuel in Turkey , 2007 .

[157]  Ibrahim Dincer,et al.  Artificial neural network analysis of world green energy use , 2007 .

[158]  C. Hamzaçebi.  Forecasting of Turkey's net electricity energy consumption on sectoral bases , 2007 .

[159]  Yi-Ming Wei,et al.  Multi-regional input-output model for regional energy requirements and CO2 emissions in China , 2007 .

[160]  Carlos A. M. Pinheiro,et al.  Long-term load forecasting via a hierarchical neural model with time integrators , 2007 .

[161]  Theodoros Zachariadis,et al.  An empirical analysis of electricity consumption in Cyprus , 2007 .

[162]  Mark Diesendorf,et al.  Clean energy scenarios for Australia , 2007 .

[163]  Erkan Erdogdu.  Electricity Demand Analysis Using Cointegration and ARIMA Modelling: A case study of Turkey , 2007 .

[164]  Shaligram Pokharel.  An econometric analysis of energy consumption in Nepal , 2007 .

[165]  Karlson Hargroves,et al.  Energy transformed: Sustainable energy solutions for climate change mitigation , 2007 .

[166]  Volkan Ş. Ediger,et al.  Forecasting production of fossil fuel sources in Turkey using a comparative regression and ARIMA model , 2006 .

[167]  Kwong Wing Chau,et al.  Short- and long-run effects between oil consumption and economic growth in China , 2006 .

[168]  Fionn Murtagh,et al.  Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting , 2006, Neurocomputing.

[169]  Mahmoud A. Al-Iriani.  Energy-GDP relationship revisited: An example from GCC countries using panel causality , 2006 .

[170]  Yetis Sazi Murat,et al.  Use of artificial neural networks for transport energy demand modeling , 2006 .

[171]  S. Iniyan,et al.  Energy models for commercial energy prediction and substitution of renewable energy sources , 2006 .

[172]  B. W. Ang,et al.  A trigonometric grey prediction approach to forecasting electricity demand , 2006 .

[173]  E. Gonzalez-Romera,et al.  Monthly Electric Energy Demand Forecasting Based on Trend Extraction , 2006, IEEE Transactions on Power Systems.

[174]  Francisco de A. T. de Carvalho,et al.  Symbolic interval time series forecasting using a hybrid model , 2006, 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06).

[175]  Sajal Ghosh,et al.  Future demand of petroleum products in India , 2006 .

[176]  Maarouf Saad,et al.  An efficient approach for short term load forecasting using artificial neural networks , 2006 .

[177]  Shreekar Pradhan,et al.  Mitigation potential of greenhouse gas emission and implications on fuel consumption due to clean energy vehicles as public passenger transport in Kathmandu Valley of Nepal: A case study of trolley buses in Ring Road , 2006 .

[178]  Ping-Feng Pai,et al.  Hybrid ellipsoidal fuzzy systems in forecasting regional electricity loads , 2006 .

[179]  Ismet Erkmen,et al.  Intelligent short-term load forecasting in Turkey , 2006 .

[180]  T. Senjyu,et al.  Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market , 2006 .

[181]  H. Pao.  Comparing linear and nonlinear forecasts for Taiwan's electricity consumption , 2006 .

[182]  A. Gil,et al.  Forecasting of electricity prices with neural networks , 2006 .

[183]  Ramakrishnan Ramanathan,et al.  A multi-factor efficiency perspective to the relationships among world GDP, energy consumption and carbon dioxide emissions , 2006 .

[184]  Yi-Ming Wei,et al.  A scenario analysis of energy requirements and energy intensity for China's rapidly developing society in the year 2020 , 2006 .

[185]  N. Amjady.  Day-ahead price forecasting of electricity markets by a new fuzzy neural network , 2006, IEEE Transactions on Power Systems.

[186]  David G. Streets,et al.  Reductions in emissions of local air pollutants and co-benefits of Chinese energy policy: a Shanghai case study , 2006 .

[187]  Tai Nengling,et al.  Techniques of applying wavelet transform into combined model for short-term load forecasting , 2006 .

[188]  David Zimbra,et al.  Medium term system load forecasting with a dynamic artificial neural network model , 2006 .

[189]  S. Raghuvanshi,et al.  Carbon dioxide emissions from coal based power generation in India , 2006 .

[190]  F. Manzini.  Inserting renewable fuels and technologies for transport in Mexico City Metropolitan Area , 2006 .

[191]  Ünal Çamdali,et al.  Comparison of Turkey's electrical energy consumption and production with some European countries and optimization of future electrical power supply investments in Turkey , 2006 .

[192]  Hamid Davoudpour,et al.  The potential for greenhouse gases mitigation in household sector of Iran: cases of price reform/efficiency improvement and scenario for 2000–2010 , 2006 .

[193]  Tara C. Kandpal,et al.  Renewable energy technologies for irrigation water pumping in India: projected levels of dissemination, energy delivery and investment requirements using available diffusion models , 2005 .

[194]  Chun-Ping Chang,et al.  STRUCTURAL BREAKS, ENERGY CONSUMPTION, AND ECONOMIC GROWTH REVISITED: EVIDENCE FROM TAIWAN , 2005 .

[195]  L. Hunt,et al.  Primary energy demand in Japan: an empirical analysis of long-term trends and future CO2 emissions , 2005 .

[196]  Ho-Chul Shin,et al.  Environmental and economic assessment of landfill gas electricity generation in Korea using LEAP model , 2005 .

[197]  P. Bodger,et al.  Forecasting electricity consumption in New Zealand using economic and demographic variables , 2005 .

[198]  P. Narayan,et al.  Electricity consumption, employment and real income in Australia evidence from multivariate Granger causality tests , 2005 .

[199]  L. Galindo,et al.  Short- and long-run demand for energy in Mexico: a cointegration approach , 2005 .

[200]  S. A. Soliman,et al.  Long-term/mid-term electric load forecasting based on short-term correlation and annual growth , 2005 .

[201]  Adnan Sözen,et al.  Turkey's net energy consumption , 2005 .

[202]  A. Hepbasli,et al.  Electricity estimation using genetic algorithm approach: a case study of Turkey , 2005 .

[203]  T. Yalcinoz,et al.  Short term and medium term power distribution load forecasting by neural networks , 2005 .

[204]  A.J. Conejo,et al.  Day-ahead electricity price forecasting using the wavelet transform and ARIMA models , 2005, IEEE Transactions on Power Systems.

[205]  B. O’Neill,et al.  Accuracy of past projections of US energy consumption , 2005 .

[206]  Adnan Sözen,et al.  Solar-energy potential in Turkey , 2005 .

[207]  Elton Fernandes,et al.  Natural gas in Brazil's energy matrix: demand for 1995–2010 and usage factors , 2005 .

[208]  G. Jang,et al.  Short-term load forecasting for the holidays using fuzzy linear regression method , 2005, IEEE Transactions on Power Systems.

[209]  Soner Haldenbilen,et al.  Genetic algorithm approach to estimate transport energy demand in Turkey , 2005 .

[210]  Maryse Labriet,et al.  The World-Markal Model and Its Application to Cost-Effectiveness, Permit Sharing, and Cost-Benefit Analyses , 2005 .

[211]  Richard Loulou,et al.  Energy Technology Systems Analysis Programme , 2005 .

[212]  V. Lo Brano,et al.  Forecasting daily urban electric load profiles using artificial neural networks , 2004 .

[213]  Z. Yumurtacı,et al.  Electric Energy Demand of Turkey for the Year 2050 , 2004 .

[214]  Harun Kemal Ozturk,et al.  Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach , 2004 .

[215]  K. Sakamoto,et al.  Grey relative analysis and future prediction on rural household biofuels consumption in China , 2004 .

[216]  Koen E.L. Smekens-Ramirez Morales.  Response from a MARKAL technology model to the EMF scenario assumptions , 2004 .

[217]  Arif Hepbasli,et al.  Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach , 2004 .

[218]  Wei Lu,et al.  Image of energy consumption of well off society in China , 2004 .

[219]  Ramazan Sari,et al.  Disaggregate energy consumption, employment and income in Turkey , 2004 .

[220]  Albert W. L. Yao,et al.  Analysis and design of a Taguchi–Grey based electricity demand predictor for energy management systems , 2004 .

[221]  Haydar Aras,et al.  Forecasting Residential Natural Gas Demand , 2004 .

[222]  Bodil Merethe Larsen,et al.  Household electricity end-use consumption: results from econometric and engineering models , 2004 .

[223]  F. Gorucu.  Evaluation and Forecasting of Gas Consumption by Statistical Analysis , 2004 .

[224]  Ming Yang,et al.  China’s rural electricity market—a quantitative analysis , 2004, Energy.

[225]  Haidong Kan,et al.  An evaluation of public health impact of ambient air pollution under various energy scenarios in Shanghai, China , 2004 .

[226]  P. Crompton,et al.  Energy consumption in China: past trends and future directions , 2004 .

[227]  Albert W. L. Yao,et al.  An improved Grey-based approach for electricity demand forecasting , 2003 .

[228]  Dennis Y.C. Leung,et al.  A review on the energy production, consumption, and prospect of renewable energy in China , 2003 .

[229]  L. Zhidong,et al.  An econometric study on China’s economy, energy and environment to the year 2030 , 2003 .

[230]  Chia-Yon Chen,et al.  Applications of improved grey prediction model for power demand forecasting , 2003 .

[231]  Chia-Yon Chen,et al.  Regional load forecasting in Taiwanapplications of artificial neural networks , 2003 .

[232]  Amit Kumar,et al.  Greenhouse gas mitigation potential of biomass energy technologies in Vietnam using the long range energy alternative planning system model. , 2003 .

[233]  Guy Judge,et al.  Underlying trends and seasonality in UK energy demand: a sectoral analysis , 2003 .

[234]  Ian D. McAvinchey,et al.  Stationarity, structural change and specification in a demand system: the case of energy , 2003 .

[235]  J. Contreras,et al.  Forecasting Next-Day Electricity Prices by Time Series Models , 2002, IEEE Power Engineering Review.

[236]  Yong U. Glasure.  Energy and national income in Korea: further evidence on the role of omitted variables , 2002 .

[237]  S. H. Kim.  Korean energy demand in the new millennium: outlook and policy implications, 2000–2005 , 2002 .

[238]  Sarantis Lolos,et al.  Energy consumption and economic growth: assessing the evidence from Greece , 2002 .

[239]  R. Balasubramanian,et al.  Demand for commercial energy in the state of Kerala, India: an econometric analysis with medium-range projections , 2002 .

[240]  V. Ediger,et al.  Forecasting the primary energy demand in Turkey and analysis of cyclic patterns , 2002 .

[241]  Merih Aydinalp,et al.  Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks , 2002 .

[242]  Fabio Manzini,et al.  Renewable Energies in Electricity Generation for Reduction of Greenhouse Gases in Mexico 2025 , 2002, Ambio.

[243]  Chen Changhong,et al.  The CO2 emission reduction benefits of Chinese energy policies and environmental policies:: A case study for Shanghai, period 1995-2020 , 2001 .

[244]  R. Yokoyama,et al.  A flexible long-term load forecasting approach based on new dynamic simulation theory - GSIM , 2001 .

[245]  Sung Hyun Kim,et al.  Korean energy demand in the new millenium: outlook and policy implications, 2000–2005 , 2001 .

[246]  Nima Amjady,et al.  Short-term hourly load forecasting using time-series modeling with peak load estimation capability , 2001 .

[247]  Alexandre Szklo,et al.  CO2 emissions in the Brazilian industrial sector according to the integrated energy planning model (IEPM) , 2001 .

[248]  J. W. Sun,et al.  Energy demand in the fifteen European Union countries by 2010 , 2001 .

[249]  Spyros G. Tzafestas,et al.  Computational Intelligence Techniques for Short-Term Electric Load Forecasting , 2001, J. Intell. Robotic Syst..

[250]  Lefteri H. Tsoukalas,et al.  Journal of Intelligent and Robotic Systems 31: 149--157, 2001. , 2022 .

[251]  Fuat Egelioğlu,et al.  Economic variables and electricity consumption in Northern Cyprus , 2001 .

[252]  A. Jai Persaud,et al.  An eclectic approach in energy forecasting: a case of Natural Resources Canada's (NRCan's) oil and gas outlook☆ , 2001 .

[253]  Fabio Manzini,et al.  Reduction of greenhouse gases using renewable energies in Mexico 2025 , 2001 .

[254]  Samer S. Saab,et al.  Univariate modeling and forecasting of energy consumption: the case of electricity in Lebanon , 2001 .

[255]  E. H. Barakat,et al.  Modeling of nonstationary time-series data. Part II. Dynamic periodic trends , 2001 .

[256]  L. Suganthi,et al.  Renewable energy in India — a modelling study for 2020–2021 , 2000 .

[257]  Y. H. Song,et al.  Wavelet transform and neural networks for short-term electrical load forecasting , 2000 .

[258]  Ghassan Dibeh,et al.  Econometric modeling of electricity consumption in post-war Lebanon , 2000 .

[259]  Sarantis Kalyvitis,et al.  Forecasting energy consumption and energy related CO2 emissions in Greece: An evaluation of the consequences of the Community Support Framework II and natural gas penetration , 2000 .

[260]  S. J. Kiartzis,et al.  A fuzzy expert system for peak load forecasting. Application to the Greek power system , 2000, 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099).

[261]  Christian von Hirschhausen,et al.  Long-term electricity demand in China — From quantitative to qualitative growth? , 2000 .

[262]  Jyoti K. Parikh,et al.  Modeling demand for coal in India: vector autoregressive models with cointegrated variables , 2000 .

[263]  Vladimiro Miranda,et al.  Fuzzy inference in spatial load forecasting , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[264]  Ramakrishnan Ramanathan,et al.  Short- and long-run elasticities of gasoline demand in India: An empirical analysis using cointegration techniques , 1999 .

[265]  Abdallah Al-Shehri,et al.  Artificial neural network for forecasting residential electrical energy , 1999 .

[266]  K Padmakumari,et al.  Long term distribution demand forecasting using neuro fuzzy computations , 1999 .

[267]  V. Jain,et al.  Modelling of electrical energy consumption in Delhi , 1999 .

[268]  R. Bose,et al.  Elasticities of electricity demand in India , 1999 .

[269]  S Gonzales Chavez,et al.  Forecasting of energy production and consumption in Asturias (northern Spain) , 1999 .

[270]  Benjamin F. Hobbs,et al.  Artificial neural networks for short-term energy forecasting: Accuracy and economic value , 1998, Neurocomputing.

[271]  Alireza Khotanzad,et al.  ANNSTLF-Artificial Neural Network Short-Term Load Forecaster- generation three , 1998 .

[272]  V. I. Ugursal,et al.  A residential end‐use energy consumption model for Canada , 1998 .

[273]  Henri Moll,et al.  TRENDS IN DUTCH ENERGY INTENSITIES FOR THE PERIOD 1969–1988 , 1998 .

[274]  L. Schipper,et al.  Residential energy demand in OECD-countries and the role of irreversible efficiency improvements , 1998 .

[275]  W. Charytoniuk,et al.  Nonparametric regression based short-term load forecasting , 1998 .

[276]  J. C. Lam.  Climatic and economic influences on residential electricity consumption , 1998 .

[277]  J. Vermaak,et al.  Recurrent neural networks for short-term load forecasting , 1998 .

[278]  A. Al-Garni,et al.  Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis , 1997 .

[279]  J. Silk,et al.  Short and long-run elasticities in US residential electricity demand: a co-integration approach , 1997 .

[280]  Ahmed Z. Al-Garni,et al.  Modelling and forecasting monthly electric energy consumption in eastern Saudi Arabia using abductive networks , 1997 .

[281]  S. C. Tripathy.  Demand forecasting in a power system , 1997 .

[282]  Mourad Badri,et al.  EDSSF: a decision support system (DSS) for electricity peak-load forecasting , 1997 .

[283]  Amit Kanudia,et al.  Advanced bottom-up modelling for national and regional energy planning in response to climate change , 1997 .

[284]  Jayant Sathaye,et al.  Climate change country studies , 1997 .

[285]  Peter J. G. Pearson,et al.  The future of UK final user energy demand , 1997 .

[286]  Ibrahim Dincer,et al.  ENERGY AND GDP , 1997 .

[287]  Saifur Rahman,et al.  Load forecasting for multiple sites: development of an expert system-based technique , 1996 .

[288]  William Remus,et al.  Neural Network Models for Time Series Forecasts , 1996 .

[289]  Tommy W. S. Chow,et al.  Neural network based short-term load forecasting using weather compensation , 1996 .

[290]  Duangjai Intarapravich,et al.  3. Asia-Pacific energy supply and demand to 2010 , 1996 .

[291]  M. Nagy Eltony,et al.  Demand for natural gas in Kuwait: An empirical analysis using two econometric models , 1996 .

[292]  A. M. Masih,et al.  Stock-Watson dynamic OLS (DOLS) and error-correction modelling approaches to estimating long- and short-run elasticities in a demand function: new evidence and methodological implications from an application to the demand for coal in mainland China , 1996 .

[293]  M. Elkhafif.  An iterative approach for weather-correcting energy consumption data , 1996 .

[294]  A. M. Masih,et al.  Energy consumption, real income and temporal causality: results from a multi-country study based on cointegration and error-correction modelling techniques , 1996 .

[295]  Jyoti K. Parikh,et al.  Forecast and analysis of demand for petroleum products in India , 1996 .

[296]  Alireza Khotanzad,et al.  An artificial neural network hourly temperature forecaster with applications in load forecasting , 1996 .

[297]  S. J. Kiartzis,et al.  A neural network short term load forecasting model for the Greek power system , 1996 .

[298]  B. W. Ang,et al.  Decomposition of industrial energy consumption: The energy coefficient approach , 1996 .

[299]  A. Hoque,et al.  A COINTEGRATING RELATIONSHIP IN THE DEMAND FOR ENERGY: THE CASE OF ELECTRICITY IN KUWAIT , 1996 .

[300]  Chuin-Shan Chen,et al.  Customer short term load forecasting by using ARIMA transfer function model , 1995, Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95.

[301]  A. C. Liew,et al.  Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting , 1995 .

[302]  S. J. Kiartzis,et al.  Short term load forecasting using fuzzy neural networks , 1995 .

[303]  Rey-Chue Hwang,et al.  An adaptive modular artificial neural network hourly load forecaster and its implementation at electric utilities , 1995 .

[304]  M. N. Eltony,et al.  Demand for gasoline in Kuwait: An empirical analysis using cointegration techniques , 1995 .

[305]  Saleh M. Al-Alawi,et al.  Forecasting monthly electric load and energy for a fast growing utility using an artificial neural network , 1995 .

[306]  M. Sforna,et al.  A neural network operator oriented short-term and online load forecasting environment , 1995 .

[307]  C. W. Carr,et al.  A total energy demand model of Québec: Forecasting properties , 1995 .

[308]  Stephen G. Hall,et al.  Econometric modelling of international carbon tax regimes , 1995 .

[309]  Osama A. Mohammed,et al.  Practical experiences with an adaptive neural network short-term load forecasting system , 1995 .

[310]  S. D. Probert,et al.  Crude oil and natural gas supplies and demands for Denmark , 1995 .

[311]  B. W. Ang.  Multilevel decomposition of industrial energy consumption , 1995 .

[312]  B. W. Ang,et al.  Decomposition methodology in industrial energy demand analysis , 1995 .

[313]  S. D. Probert,et al.  Crude oil and natural gas supplies and demands up to the year ad 2010 for France , 1995 .

[314]  Devendra K. Chaturvedi,et al.  Load forecasting using genetic algorithms , 1995 .

[315]  S. Muto,et al.  Regression based peak load forecasting using a transformation technique , 1994 .

[316]  Shangyou Hao,et al.  An implementation of a neural network based load forecasting model for the EMS , 1994 .

[317]  J. D. McDonald,et al.  A real-time implementation of short-term load forecasting for distribution power systems , 1994 .

[318]  Lon-Mu Liu,et al.  Dynamic structural analysis and forecasting of residential electricity consumption , 1993 .

[319]  C. H. Skiadas,et al.  An attempt to improve the forecasting ability of growth functions: The Greek electric system , 1993 .

[320]  Saul B. Suslick,et al.  Forecasting of petroleum consumption in Brazil using the intensity of energy technique , 1993 .

[321]  S. Vemuri,et al.  Neural network based short term load forecasting , 1993 .

[322]  David C. Yu,et al.  Weather sensitive short-term load forecasting using nonfully connected artificial neural network , 1992 .

[323]  L. Suganthi,et al.  A Modified Model for Prediction of India's Future Energy Requirement , 1992 .

[324]  Moon-Hee Park,et al.  Short-term Load Forecasting Using Artificial Neural Network , 1992 .

[325]  Y.-Y. Hsu,et al.  Short term load forecasting using a multilayer neural network with an adaptive learning algorithm , 1992 .

[326]  George G. Karady,et al.  Advancement in the application of neural networks for short-term load forecasting , 1992 .

[327]  Thong Ngee Goh,et al.  Forecasting of electricity consumption: a comparison between an econometric model and a neural network model , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

[328]  Gilberto De Martino Jannuzzi,et al.  The structure of electricity demand in the Brazilian household sector , 1991 .

[329]  Y.-Y. Hsu,et al.  Design of artificial neural networks for short - term load forecasting , 1991 .

[330]  Robert J. Marks,et al.  Electric load forecasting using an artificial neural network , 1991 .

[331]  Yuan-Yih Hsu,et al.  Short term load forecasting of Taiwan power system using a knowledge-based expert system , 1990 .

[332]  Pekka Silvennoinen,et al.  A belief network model for forecasting within the electricity sector , 1990 .

[333]  Saifur Rahman,et al.  Analysis and Evaluation of Five Short-Term Load Forecasting Techniques , 1989, IEEE Power Engineering Review.

[334]  T. Hesterberg,et al.  A regression-based approach to short-term system load forecasting , 1989, Conference Papers Power Industry Computer Application Conference.

[335]  Saifur Rahman,et al.  An expert system based algorithm for short term load forecast , 1988 .

[336]  M. Hagan,et al.  The Time Series Approach to Short Term Load Forecasting , 1987, IEEE Transactions on Power Systems.

[337]  Pat Bodger,et al.  Logistic and energy substitution models for electricity forecasting: A comparison using New Zealand consumption data , 1987 .

[338]  Pat Bodger,et al.  Further issues in forecasting primary energy consumption , 1984 .

[339]  Sheng H. Kung,et al.  Synthesis of qualitative and quantitative approaches to long-range forecasting , 1984 .

[340]  D. R. Bohi,et al.  An Update on Econometric Studies of Energy Demand , 1984 .

[341]  J. Samouilidis,et al.  Energy and economic growth in industrializing countries: The case of Greece , 1984 .

[342]  H. L. Willis,et al.  Load Forecasting for Transmission Planning , 1984, IEEE Power Engineering Review.

[343]  Leslie G. Fishbone,et al.  Markal, a linear‐programming model for energy systems analysis: Technical description of the bnl version , 1981 .

[344]  J. R. Maura,et al.  The Spanish Case , 1970, Government and Opposition.