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Guo-Feng Fan, Shan Qing, Hua Wang, Wei-Chiang Hong and Hong-Juan Li
Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support v...
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Ming-Wei Li, Jing Geng, Shumei Wang and Wei-Chiang Hong
Hybridizing evolutionary algorithms with a support vector regression (SVR) model to conduct the electric load forecasting has demonstrated the superiorities in forecasting accuracy improvements. The recently proposed bat algorithm (BA), compared with cla...
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Li-Ling Peng, Guo-Feng Fan, Min-Liang Huang and Wei-Chiang Hong
Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support v...
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Wei-Chiang Hong, Yucheng Dong, Chien-Yuan Lai, Li-Yueh Chen and Shih-Yung Wei
Accurate electric load forecasting has become the most important issue in energy management; however, electric load demonstrates a seasonal/cyclic tendency from economic activities or the cyclic nature of climate. The applications of the support vector r...
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