Forecasting and Assessing Risk of Individual Electricity Peaks

The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme valu...

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Detaylı Bibliyografya
Asıl Yazarlar: Jacob, Maria (Yazar), Neves, Cláudia (Yazar), Vukadinović Greetham, Danica (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edisyon:1st ed. 2020.
Seri Bilgileri:SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans,
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3rd Floor Main Library

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Yer Numarası: A1234.567
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