Statistical analysis of driving factors of residential energy demand in the greater Sydney region, Australia

[1]  J. Scott Armstrong,et al.  Estimating nonresponse bias in mail surveys. , 1977 .

[2]  H. N. Tram,et al.  Load Forecasting for Transmission Planning , 1984 .

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

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

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

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

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

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

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

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

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

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

[13]  J. Contreras,et al.  Forecasting next-day electricity prices by time series models , 2002 .

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

[15]  C. Willmott,et al.  Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance , 2005 .

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

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

[18]  Mark Jaccard,et al.  Combining Top-Down and Bottom-Up Approaches To Energy-Economy Modeling Using Discrete Choice Methods , 2005 .

[19]  Jukka Paatero,et al.  A model for generating household electricity load profiles , 2006 .

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

[21]  Alan Pears,et al.  Imagining Australia's energy services futures , 2007 .

[22]  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 .

[23]  V. Ismet Ugursal,et al.  Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .

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

[25]  Hiroshi Yoshino,et al.  Contrastive analyses on annual energy consumption characteristics and the influence mechanism between new and old residential buildings in Shanghai, China, by the statistical methods , 2009 .

[26]  Xiaoming Wang,et al.  Assessment of climate change impact on residential building heating and cooling energy requirement in Australia , 2010 .

[27]  David Infield,et al.  Domestic electricity use: A high-resolution energy demand model , 2010 .

[28]  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 .

[29]  Rodney Anthony Stewart,et al.  Smart Metering and Water End-Use Data: Conservation Benefits and Privacy Risks , 2010 .

[30]  Dejan Mumovic,et al.  A review of bottom-up building stock models for energy consumption in the residential sector , 2010 .

[31]  Nianping Li,et al.  Statistical analyses on winter energy consumption characteristics of residential buildings in some c , 2010 .

[32]  I. Azevedo,et al.  Residential electricity consumption in Portugal: Findings from top-down and bottom-up models , 2011 .

[33]  V. I. Ugursal,et al.  Occupant related household energy consumption in Canada: Estimation using a bottom-up neural-network , 2011 .

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

[35]  W. Qureshi,et al.  Incorporating economic and demographic variablesfor forecasting electricity consumption in Pakistan , 2011, 2011 2nd International Conference on Electric Power and Energy Conversion Systems (EPECS).

[36]  Rob J Hyndman,et al.  Forecasting electricity demand in Australian National Electricity Market , 2012, 2012 IEEE Power and Energy Society General Meeting.

[37]  Aie,et al.  Energy Technology Perspectives 2012 , 2006 .

[38]  Athanasios Tsanas,et al.  Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools , 2012 .

[39]  Saeed M. Badran Neural network integrated with regression methods to forecast electrical load , 2012 .

[40]  Michael Ambrose,et al.  The evaluation of the 5-star energy efficiency standard for residential buildings , 2013 .

[41]  Elham Sadat Mostafavi,et al.  A novel machine learning approach for estimation of electricity demand: An empirical evidence from Thailand , 2013 .

[42]  Eva Gonzalez-Romera,et al.  Monthly electric demand forecasting with neural filters , 2013 .

[43]  Hugh Saddler Power down: why is electricity consumption decreasing? , 2013 .

[44]  Andrew Higgins,et al.  Statistical modelling of district-level residential electricity use in NSW, Australia , 2013, Sustainability Science.

[45]  A. B. M. Shawkat Ali,et al.  Demand Forecasting in Smart Grid , 2013 .

[46]  P. Lecca,et al.  The impact of population ageing on energy use: Evidence from Italy , 2013 .

[47]  K. Steemers,et al.  A statistical analysis of a residential energy consumption survey study in Hangzhou, China , 2013 .

[48]  William Kaiser,et al.  What Can We Learn from High Frequency Appliance Level Energy Metering? Results from a Field Experiment , 2014 .

[49]  Peter R. Armstrong,et al.  Mid-term forecasting of urban electricity load to isolate air-conditioning impact , 2014 .

[50]  G. Unakıtan,et al.  Univariate Modelling of Energy Consumption in Turkish Agriculture , 2014 .

[51]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[52]  Stuart White,et al.  Smart Grid, Smart City, Customer Research Report , 2014 .

[53]  Andrew N. Baldwin,et al.  Multi-model prediction and simulation of residential building energy in urban areas of Chongqing, South West China , 2014 .

[54]  David Fischer,et al.  Model for electric load profiles with high time resolution for German households , 2015 .