Short-Term Load Forecasting by Artificial Intelligent Technologies

In last few decades, short-term load forecasting (STLF) has been one of the most important research issues for achieving higher efficiency and reliability in power system operation, to facilitate the minimization of its operation cost by providing accurate input to day-ahead scheduling, contingency...

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Bibliografiset tiedot
Päätekijä: Wei-Chiang Hong (Ed.) (auth)
Muut tekijät: Guo-Feng Fan (Ed.) (auth), Ming-Wei Li (Ed.) (auth)
Aineistotyyppi: Elektroninen Kirjan osa
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2019
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