Applying the ensemble artificial neural network-based hybrid data-driven model to daily total load forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-014-1727-5.pdf
Reference26 articles.
1. Baek Y, Hong DH, Jang G (2005) Short-term load forecasting for the holidays using fuzzy linear regression method. IEEE Trans Power Syst 20(1):96–101
2. Zheng T, Girgis AA, Makram EB (2000) A hybrid wavelet-Kalman filter method for load forecasting. Elect Power Syst Res 54(1):11–17
3. Connor JT, Martin RD, Atlas LE (1994) Recurrent neural networks and robust time series prediction. IEEE Trans Neural Netw 5(2):240–254
4. Dordonnat V, Koopman SJ, Ooms M, Dessertaine A, Collet J (2008) An hourly periodic state space model for modelling French national electricity load. Int J Forecast 24(4):566–587
5. Taylor JW (2003) Short-term electricity demand forecasting using double seasonal exponential smoothing. J Oper Res Soc 54:799–805
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