Statistical Learning Tools for Electricity Load Forecasting

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting. Drawing on their substantial research and experience with forecasting electricity demand in industrial settings, the auth...

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Detaylı Bibliyografya

Asıl Yazarlar:	Antoniadis, Anestis (Yazar), Cugliari, Jairo (Yazar), Fasiolo, Matteo (Yazar), Goude, Yannig (Yazar), Poggi, Jean-Michel (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Cham : Springer International Publishing : Imprint: Birkhäuser, 2024.
Edisyon:	1st ed. 2024.
Seri Bilgileri:	Statistics for Industry, Technology, and Engineering,
Konular:	Statistics . Machine learning. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Statistical Learning. Machine Learning.
Online Erişim:	https://doi.org/10.1007/978-3-031-60339-6
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