A PSO–GA optimal model to estimate primary energy demand of China
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Ke Wang | Yi-Ming Wei | Shiwei Yu | Yi-Ming Wei | Ke Wang | Shiwei Yu
[1] Chia-Yon Chen,et al. Applications of improved grey prediction model for power demand forecasting , 2003 .
[2] M. Zhang,et al. Forecasting the transport energy demand based on PLSR method in China , 2009 .
[3] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[4] A. Ghanbarzadeh,et al. Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand est , 2010 .
[5] S. F. Ghaderi,et al. Integration of Artificial Neural Networks and Genetic Algorithm to Predict Electrical Energy consumption , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.
[6] Francesco Grimaccia,et al. Development and validation of different hybridization strategies between GA and PSO , 2007, 2007 IEEE Congress on Evolutionary Computation.
[7] Yetis Sazi Murat,et al. Use of artificial neural networks for transport energy demand modeling , 2006 .
[8] Ali Azadeh,et al. An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran , 2010 .
[9] H. Ozturk,et al. Application of genetic algorithm (GA) technique on demand estimation of fossil fuels in Turkey , 2008 .
[10] S. Jomnonkwao,et al. Projection of future transport energy demand of Thailand , 2011 .
[11] M. Toksari. Ant colony optimization approach to estimate energy demand of Turkey , 2007 .
[12] D. Fadare. Modelling of solar energy potential in Nigeria using an artificial neural network model , 2009 .
[13] Y. Bor,et al. The long-term forecast of Taiwan’s energy supply and demand: LEAP model application , 2011 .
[14] Dale W. Jorgenson,et al. Energy, the Environment and US Economic Growth , 2013 .
[15] Deng Ju-Long,et al. Control problems of grey systems , 1982 .
[16] R. J. Kuo,et al. A hybrid of genetic algorithm and particle swarm optimization for solving bi-level linear programming problem – A case study on supply chain model , 2011 .
[17] Oscar Castillo,et al. An improved evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms , 2011, Appl. Soft Comput..
[18] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[19] Thong Ngee Goh,et al. A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction , 2002 .
[20] Min Huang,et al. Predictive analysis on electric-power supply and demand in China , 2007 .
[21] V. Ediger,et al. ARIMA forecasting of primary energy demand by fuel in Turkey , 2007 .
[22] Alper Ünler,et al. Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025 , 2008 .
[23] M. Duran Toksarı,et al. Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey , 2009 .
[24] Erkan Erdogdu. Electricity Demand Analysis Using Cointegration and ARIMA Modelling: A case study of Turkey , 2007 .
[25] Rabia Shabbir,et al. Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model , 2010 .
[26] Lee Schipper,et al. The structure and intensity of energy use: Trends in five OECD nations. Revision , 1992 .
[27] Yue Fang,et al. Forecasting combination and encompassing tests , 2003 .
[28] Ao Qin. ENERGY DEMAND FORECASTING MODEL IN CHINA BASED ON WAVELET-NEURAL NETWORK , 2009 .
[29] Guo Ju-e,et al. Forecasting energy demand of China using Bayesian Combination model , 2008 .
[30] Lambros Ekonomou,et al. Greek long-term energy consumption prediction using artificial neural networks , 2010 .
[31] Lee-Ing Tong,et al. Forecasting energy consumption using a grey model improved by incorporating genetic programming , 2011 .
[32] Weimin Ma,et al. Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm , 2013 .
[33] Ibrahim Dincer,et al. Artificial neural network analysis of world green energy use , 2007 .
[34] Ali Azadeh,et al. A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran , 2008 .
[35] Diyar Akay,et al. Grey prediction with rolling mechanism for electricity demand forecasting of Turkey , 2007 .
[36] Andries Petrus Engelbrecht,et al. A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[37] Jyoti K. Parikh,et al. Demand projections of petroleum products and natural gas in India , 2007 .
[38] Marco Dorigo,et al. Optimization, Learning and Natural Algorithms , 1992 .
[39] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[40] R. Crookes,et al. Reduction potentials of energy demand and GHG emissions in China's road transport sector , 2009 .
[41] ChunXia Zhao,et al. Particle swarm optimization with adaptive population size and its application , 2009, Appl. Soft Comput..
[42] Soner Haldenbilen,et al. Genetic algorithm approach to estimate transport energy demand in Turkey , 2005 .
[43] Ma Huiqun,et al. Water Quality Assessment Using Artificial Neural Network , 2008, 2008 International Conference on Computer Science and Software Engineering.
[44] William E. Roper,et al. Energy demand estimation of South Korea using artificial neural network , 2009 .
[45] 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 .
[46] Hossein Nezamabadi-pour,et al. Estimation of electricity demand of Iran using two heuristic algorithms , 2010 .
[47] C. P. Andrews-Speed. Energy policy and regulation in the People's Republic of China , 2004 .
[48] Wang Fu-lin. The Application of Combination Forecasting Model in Chinese Energy Consumption , 2010 .
[49] Harun Kemal Ozturk,et al. Three different applications of genetic algorithm (GA) search techniques on oil demand estimation , 2006 .
[50] Ali Azadeh,et al. INTEGRATION OF GENETIC ALGORITHM, COMPUTER SIMULATION AND DESIGN OF EXPERIMENTS FOR FORECASTING ELECTRICAL ENERGY CONSUMPTION , 2007 .
[51] Arif Hepbasli,et al. Estimating the Turkish residential-commercial energy output based on genetic algorithm (GA) approaches , 2005 .
[52] Eric S. Fraga,et al. Process design optimisation using embedded hybrid visualisation and data analysis techniques within a genetic algorithm optimisation framework , 2004 .
[53] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[54] Harun Kemal Ozturk,et al. Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach , 2004 .
[55] 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.
[56] Erwie Zahara,et al. A hybrid genetic algorithm and particle swarm optimization for multimodal functions , 2008, Appl. Soft Comput..