Fuzzy interaction regression for short term load forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Logic,Software
Link
http://link.springer.com/content/pdf/10.1007/s10700-013-9166-9.pdf
Reference18 articles.
1. Al-Kandari, A. M., Soliman, S. A., & El-Hawary, M. E. (2004). Fuzzy short-term electric load forecasting. International Journal of Electrical Power & Energy Systems, 26(2), 111–122.
2. Chen, S. R., & Wu, B. (2003). On optimal forecasting with soft computation for nonlinear time series. Fuzzy Optimization and Decision Making, 2(3), 215–228.
3. Fan, S., & Hyndman, R. J. (2012). Short-term load forecasting based on a semi-parametric additive model. IEEE Transactions on Power Systems, 27(1), 134–141.
4. Fan, S., Methaprayoon, K., & Lee, W.-J. (2009). Multiregion load forecasting for system with large geographical area. IEEE Transactions on Industry Applications, 45(4), 1452–1459.
5. Heshmaty, B., & Kandel, A. (1985). Fuzzy linear regression and its applications to forecasting in uncertain environment. Fuzzy Sets and Systems, 15(2), 159–191.
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