A hybrid approach of neural networks and grey modeling for adaptive electricity load forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-006-0031-4.pdf
Reference32 articles.
1. Hippert HS, Pedreira CE, Souza RC (2001) Neural networks for short-term load forecasting: a review and evaluation. IEEE Trans Power Syst 16(1):44–55
2. Liang RH, Cheng CC (2000) Combined regression-fuzzy approach for short-term load forecasting. IEE P-Gener Transm D 147(4):261–266
3. Srinivasan D, Tan SS, Chang CS, Chan EK (1999) Parallel neural network-fuzzy expert system strategy for short-term load forecasting: System implementation and performance evaluation. IEEE Trans Power Syst 14(3):1100–1105
4. Chiu CC, Kao LJ, Cook DF (1997) Combining a neural network with a rule-based expert system approach for short-term power load forecasting in taiwan. Expert Syst Appl 13(4):299–305
5. Hsu CC, Chen CY (2003) Regional load forecasting in Taiwan—applications of artificial neural networks. Energ Convers Manage 44(12):1941–1949
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