References
- Aras , H. and Aras , N. 2004 . Forecasting residential natural gas demand . Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , 26 : 463 – 472 .
- Centre of Monitoring Indian Economy (CMIE) . 2005 . Data Manual Year Book on Energy, 2005 CMI .
- Geoffrey , K. F. T. and Kelvin , K. W. Y. 2007 . Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks . Energy , 32 : 1761 – 1768 .
- Hsu , C.-C. and Chen , C.-Y. 2003 . Regional load forecasting in Taiwan—Applications of artificial neural networks . Energy Convers. Manage. , 44 : 1941 – 1949 .
- Jebaraj , S. and Iniyan , S. 2006 . A review of energy models . Renew. Sustain. Energy Rev. , 10 : 281 – 311 .
- Kalogirou , S. A. 2000 . Applications of artificial neural networks for energy systems . Appl. Energy , 67 : 17 – 35 .
- Kulshreshtha , M. and Parikh , J. K. 2000 . Modelling demand for coal in India: Vector autoregressive models with cointegrated variables . Energy , 25 : 149 – 168 .
- Parikh , J. , Purohit , P. and Maitra , P. 2007 . Demand projections of petroleum products and natural gas in India . Energy , 32 : 1825 – 1837 .
- Siemek , J. , Nagy , S. and Rychlicki , S. 2003 . Estimation of natural gas consumption in Poland based on logistic curve interpretation . Appl. Energy , 75 : 1 – 7 .
- Sozen , A. , Akcayol , Ali M. and Arcaklioglu , E. 2006 . Forecasting net energy consumption using artificial neural network . Energy Sources, Part B , 1 : 147 – 155 .
- Stepannov , V. S. and Stepanova , T. B. 2004 . Energy demand forecasting by thermodynamic analysis of energy consumed processes . Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , 26 : 647 – 660 .
- Yumurtaci , Z. and Asmaz , E. 2004 . “ Electric energy demand of Turkey for the year 2050 ” . In Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Vol. 26 , 1157 – 1164 .