Interpretable Modeling for Short- and Medium-Term Electricity Demand Forecasting

We consider the problem of short- and medium-term electricity demand forecasting by using past demand and daily weather forecast information. Conventionally, many researchers have directly applied regression analysis. However, interpreting the effect of weather on the demand is difficult with the ex...

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Hlavní autor:	Kei Hirose
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2021-12-01
Edice:	Frontiers in Energy Research
Témata:	basis expansion nonnegative least squares (NNLS) short-term demand forecasting varying coefficient model (VCM) COVID-19
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fenrg.2021.724780/full
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