References:
[1]
S. Gonzales Chavez, J. XibertaBernat and H. LlanezaCoalla, “Forecasting of energy production and consumption in Asturias (Northern Spain)”, Energy, Vol.24, pp.183–98, 1999.
[2]
S. Kadoshin, T. Nishiyama and I. Toshihide, “The trend in current and near future of energy consumption from a statistical perspective”, Applied Energy, Vol.67, pp.407–17, 2000.
[3]
A. Khotanzad, H. Elragal and T. Lu, “Combination of artificial neural-network forecasters for prediction of natural gas consumption”, IEEE Transactions on Neural Networks, Vol.11, No.2, pp. 464-473, 2000.
[4]
L.C.H. Chow, “A study of sectoral energy consumption in Hong Kong (1984–97) with special emphasis on the household sector”, Energy Policy, Vol. 29, pp. 1099–110, 2001.
[5]
S. Saab, E. Badr and G. Nasr, “Univariate modeling and forecasting of energy consumption: the case of electricity in Lebanon”, Energy, Vol.26, pp. 1–14, 2001.
[6]
V.S. Ediger and H. Tatlldil, “Forecasting the primary energy demand in Turkey and analysis of cyclic patterns”, Energy Conversion and Management, Vol.43, pp. 473–87, 2002.
[7]
J. Siemek, S. Nagy and S. Rychlicki, “Estimation of natural-gas consumption in Poland based on the logistic-curve interpretation”, Applied Energy, Vol.75, No.2, pp.1-7, 2003.
[8]
B.S. Reddy and P. Balachandra, “Integrated energy–environment-policy analysis: a case study of India”, Utility Policy, Vol.11, No.2, pp.59–73, 2003.
[9]
F.B. Gorucu, P.U. Geris and F. Gumrah, “Artificial Neural Network Modeling for Forecasting Gas Consumption”, Energy Sources, Vol.26, No.3, pp. 299-307, 2004.
[10]
F.B. Gorucu and F. Gumrah, “Evaluation and Forecasting of Gas Consumption by Statistical Analysis”, Energy Sources, Vol.26, No.3, pp. 267-276, 2004.
[11]
R. Gutierrez, A. Nafidi and R.G. Sanchez, “Forecasting total natural-gas consumption in Spain by using the stochastic Gompertz innovation diffusion model”, Applied Energy, Vol.80, No.2, pp. 115-124, 2005.
[12]
E.F. Sanchez-Ubeda and A. Berzosa, “Modeling and forecasting industrial end-use natural gas consumption”, Energy Economics,Vol.29, No.4, pp.710-742, 2007.
[13]
J. Parikh, P. Purohit and P. Maitra, “Demand projections of petroleum products and natural gas in India”, Energy, Vol.32, pp.1825–1837, 2007.
[14]
A. Azadeh, S.F. Ghaderi, S. Sohrabkhani, “Forecasting electrical consumption by integration of Neural Network, time series and ANOVA’, Applied Mathematics and Computation, Vol.186, pp. 1753–1761, 2007.
[15]
S. Yoo, H.J. Lim and S.J. Kwak, “Estimating the residential demand function for natural gas in Seoul with correction for sample selection bias”, Applied Energy, Vol.86, No.4, pp. 460-465, 2009.
[16]
A. Azadeh, M. Saberi, A. Gitiforouzand Z. Saberi, “A hybrid simulation adaptive-network-based fuzzy inference system for improvement of electricity consumption estimation”, Expert Systems with Applications, Vol.36, pp. 11108-11117, 2009.
[17]
M. Saberi, A. Azadeh, Z. Saberi, P. Pazhoheshfar, “A knowledge Management System Based on Artificial Intelligence (AI) Methods: A Flexible Fuzzy Regression-Analysis of Variance Algorithm for Natural Gas Consumption Estimation”, Information Retrieval & Knowledge Management (CAMP), pp. 143 - 147, March. 2012.
[18]
A. Behrouznia, M. Saberi, A. Azadeh, S.M. Asadzadeh, P. Pazhoheshfar, “An Adaptive Network Based Fuzzy Inference System-Fuzzy Data Envelopment Analysis for Gas Consumption Forecasting and Analysis: The Case of South America”, Intelligent and Advanced Systems (ICIAS), pp. 1 – 6, June. 2010
