References
- ALFARESM, H. K.—NAZEERUDDIN, M.: Electric Load Forecasting: Literature Survey and Classification of Methods, Int. Jour. of Systems Sc. 33 No. 1 (2002), 23-34.
- HINOJOSA, V. H.—HOESE, A.: Short-Term Load Forecasting Using Fuzzy Inductive Reasoning and Evolutionary Algorithms, IEEE Trans. on Power Systems 25 No. 1, 565-574, Feb. 2010.
- ALFARES, H. K.—NAZEERUDDIN, M.: Electric Load Forecasting: Literature Survey and Classification Of Methods, Int. Jour. of Systems Science 33 No. 1 (Jan. 2002), 23-34.
- HINOJOSA, V. H.—HOESE, A.: Short-Term Load Forecasting Using Fuzzy Inductive Reasoning and Evolutionary Algorithms, IEEE Trans. on Power Systems 25 No. 1 (Feb 2010), 565-574.
- HAGAN, M. T.—BEHR, S. M.: The Time Series Approach to Short Term Load Forecasting, IEEE Trans. on Power Systems PWRS-2 No. 3 (Aug 1987), 785-791.
- WANG, B.—TAI, N. L.—ZHAI, H. Q.—YE, J.—ZHU, J. D.—QI, L. B: A New ARMAX Model based on Evolutionary Algorithm and Particle Swarm Optimization for Short-Term Load Forecasting, Electric Power Systems Research 78 No. 10 (Oct 2008), 1679-1685.
- AGUIRRE, L. A.—RODRIGUES, D. D.—LIMA, S. T.—MARTINEZ, C. B.: Dynamical Prediction and Pattern Mapping in Short-Term Load Forecasting, Int. Jour. of Electrical Power & Energy Systems, 30 No. 1 (Jan 2008), 73-82.
- SRINIVASAN, D.: Energy Demand Prediction using GMDH Networks, Neurocomputing 72 No. 1-3 (Dec 2008), 625-629.
- AZADEH, A.—SABERI, M.—GHADERI, S. F.—GITIFOROUZ, A.—EBRAHIMIPOUR, V.: Improved Estimation of Electricity Demand Function by Integration of Fuzzy System and Data Mining Approach, Energy Conversion and Management 49 No. 8 (Aug 2008.), 2165-2177.
- HAHN, H.—MEYER-NIEBERG, S.—PICKL, S.: Electric Load Forecasting Methods: Tools for Decision making, European Journal of Operational Research 199 No. 3 (Dec 2009), 902-907.
- PAPPAS, S. S.—EKONOMOU, L.—KARAMPELAS, P.—KARAMOUSANTAS, D. C.—KATSIKAS, S. K.—CHATZARAKIS, G. E.—SKAFIDAS, P. D.: Electricity Demand Load Forecasting of the Hellenic Power System using an ARMA Model, Electric Power Systems Research 80 No. 3 (Mar 2010), 256-264.
- QI—WU: A Hybrid-Forecasting Model based on Gaussian Support Vector Machine and Chaotic Particle Swarm Optimization, Expert Systems with Applications: An Int. Jour. 37 No. 3 (Mar 2010), 2388-2394.
- DANESHI, H.—DANESHI, A.: Price Forecasting in Deregulated Electricity Markets - A Bibliographical Survey, Third Int. Conf. on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT 2008, 6-9 Apr 2008, pp. 657-661.
- AZADEH, A—GHADERI, S. F.—SOHRABKHANI, S.: Annual Electricity Consumption Forecasting by Neural Network in High Energy Consuming Industrial Sectors, Energy Conversion and Management 49 No. 8 (Aug 2008), 2272-2278.
- DANESHI, H.—SHAHIDEHPOUR, M.—CHOOBBARI, A. L.: Long-Term Load Forecasting in Electricity Market, IEEE Int. Conf. on Electro/Inf. Tech. 2008, 18-20 May 2008, pp. 395-400.
- DANESHI, H.—DANESHI, A.: Real Time Load Forecast in Power System, Third Int. Conf. on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT 2008, 6-9 Apr 2008, pp. 689-695.
- PINDORIYA, N. M.—SINGH, S. N.—SINGH, S. K.: Forecasting the Day-Ahead Spinning Reserve Requirement in Competitive Electricity Market, Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, IEEE, USA, 20-24 July 2008, pp. 1-8.
- HINOJOSA, V. H.—HOESE, A.: Short-Term Load Forecasting using Fuzzy Inductive Reasoning and Evolutionary Algorithms, IEEE Trans. Power Syst. 25 No. 1 (Feb 2010), 565-574.
- PARKPOOM, S. J.—HARRISON, G. P.: Analyzing the Impact of Climate Change on Future Electricity Demand in Thailand, IEEE Trans. Power Syst. 23 No. 3 (Aug 2008).
- DREZGA, I.—RAHMAN, S.: Input Variable Selection for ANN-Based Short-Term Load Forecasting, IEEE Tran. on Power Sys. 13 No. 4 (Nov 1998).
- AZADEH, A.—FAIZ, Z. S.: A Meta-Heuristic Framework for Forecasting Household Electricity Consumption, Applied Soft Computing 11 No. 1 (Jan 2011), 614-620.
- TSEKOURAS, G. J.—DIALYNAS, E. N.—HATZIARGYRIOU, N. D.—KAVATZA, S.: A Non-Linear Multivariable Regression Model for Midterm Energy Forecasting of Power Systems, Electric Power Systems Research 77 No. 12 (Oct 2007), 1560-1568.
- SULLIVAN, W. G.—CLAYCOMBE, W. W.: Fundamentals of Forecasting, Reston Publishing Company, Inc., Restan Virginia, 1977.
- McCULLOCH, W. S.—PITTS, W.: Bulletin of Mathematical Biophysics 5 (1943), 115-133.
- HAYKIN, S.: Neural Network: A comprehensive foundation, Prentice Hall of India, New Delhi, 1999.
- SHRIVASTAVA, V.—MISRA, R. B.: A Novel Approach of Input Variable Selection for ANN Based Load Forecasting, Joint Int. Conf. on Power System Technology and IEEE Power India Conf., POWERCON 2008, 12-15 Oct 2008, pp. 1-5.
- METHAPRAYOON, K.—LEE, W. J.—RASMIDDATTA, S.— LIAO, J. R.—ROSS, R. J.: Multistage Artificial Neural Network Short Term Load Forecasting Engine with Front End Weather Forecasting, IEEE Trans. on Industry Applications 43 No. 6 (Nov/Dec 2007), 1410-1416.
- CHARYTONIUK, W.—CHEN, M. S.: Neural Network Design for Short Term Load Forecasting, Int. Conf. on Electric Utility Deregulation and Restructuring and Power Technologies, Proceedings DRPT 2000, 2000, pp. 554-561.
- BEALE, M. H.—HAGAN, M. T.—DEMUTH, H. B.: Neural Network ToolboxTM 7 Users Guide, The Math Works, Inc., Natick, MA, Sep 2010.
- AMJADY, N.—DARAEEPOUR, A.: Mixed Price and Load Forecasting of Electricity Markets by a New Iterative Prediction Method, Electric Power Systems Research 79 No. 9 (Sep 2009), 1329-1336.
- http://www2.bot.or.th/statistics/ReportPage.aspx?reportID=108&language=eng
- BOX, G. E. P.—JENKINS, G. M.: Time Series Analysis: Forecasting and Control, Holden-Day Inc., 500 Sansome street, San francisco, California, 1976.
- KUNCORO, A. H.—ZUHAL, R. D.: Long-Term Load Forecasting on the Java-Madura-Bali Electricity System using Artificial Neural Network Method, Int. Conf. on Advances in Nuclear Science and Engineering in Conjunction with LKSTN, 2007, pp. 177-181.