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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Bibliographic Details
Published in:	Applied energy Vol. 313; p. 118752
Main Authors:	Tschora, Léonard, Pierre, Erwan, Plantevit, Marc, Robardet, Céline
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2022 Elsevier
Subjects:	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
Online Access:	Get full text
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