Electricity price forecasting on the day-ahead market using machine learning

The price of electricity on the European market is very volatile. This is due both to its mode of production by different sources, each with its own constraints (volume of production, dependence on the weather, or production inertia), and by the difficulty of its storage. Being able to predict the p...

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Vydané v:	Applied energy Ročník 313; s. 118752
Hlavní autori:	Tschora, Léonard, Pierre, Erwan, Plantevit, Marc, Robardet, Céline
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2022 Elsevier
Predmet:	Artificial Intelligence Computational Engineering, Finance, and Science Computer Science Data Structures and Algorithms Economics and Finance electricity electricity costs Electricity price forecasting energy Explainable AI (XAI) Forecast evaluation Humanities and Social Sciences Machine Learning markets Open-access benchmark prediction prices weather Electricity price forecasting Forecast evaluation Open-access benchmark Explainable AI (XAI) Machine learning
ISSN:	0306-2619, 1872-9118
On-line prístup:	Získať plný text
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