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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Muut tekijät: | , |
Aineistotyyppi: | Elektroninen Kirjan osa |
Kieli: | englanti |
Julkaistu: |
MDPI - Multidisciplinary Digital Publishing Institute
2019
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Linkit: | DOAB: download the publication DOAB: description of the publication |
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Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
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A1234.567 |
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Nide 1 | Saatavissa |