{"id":"doi:10.1016/j.apenergy.2022.118752","kind":"article","title":"Electricity price forecasting on the day-ahead market using machine learning","authors":["Léonard Tschora","Erwan Pierre","Marc Plantevit","Céline Robardet"],"author_count":4,"year":2022,"published":"2022-03-04","venue":"Applied Energy","cited_by":229,"doi":"10.1016/j.apenergy.2022.118752","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.apenergy.2022.118752","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.apenergy.2022.118752","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4214936883","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Energy Load and Power Forecasting"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}