Short-Term Load Forecasting Using Genetic Algorithm
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-8055-5_76
Reference12 articles.
1. Moghram, Rahman, S: Analysis and Evaluation of Five Short-Term Load Forecasting Techniques. IEEE Trans. PowerSystems, Vol. 4, No. 4, Oct. 1989, pp. 1484–1491.
2. Hayes, B; Madrid, Spain; Gruber, J; Prodanovic, M: Short-Term Load Forecasting at the local level using smart meter data. Power Tech, 2015 IEEE Eindhoven, June 29, 2015-July 2, 2015, pp: 1–6.
3. Papalexopoulos, A-D; T. Hesterberg, T-C: A Regression- Based Approach to Short-Term System Load Forecasting. IEEE Trans. Power Systems, Vol. 5, No. 4, Nov. 1990, pp. 1535–1547.
4. Hagan, MBehr, S-M: The Time Series Approach to Short-Term Load Forecasting. IEEE Trans. Power Systems, Vol. 2, No. 3, Aug. 1987, pp. 785–791.
5. Grzegorz, Dudek, G: Pattern-based local linear regression models for short-term load forecasting. Electric Power Systems Research, Volume 130, January 2016, Pages 139–147.
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