{"id":"doi:10.1016/j.renene.2017.03.064","kind":"article","title":"Hour-ahead wind power forecast based on random forests","authors":["Ali Lahouar","Jaleleddine Ben Hadj Slama"],"author_count":2,"year":2017,"published":"2017-03-24","venue":"Renewable Energy","cited_by":443,"doi":"10.1016/j.renene.2017.03.064","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.renene.2017.03.064","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.renene.2017.03.064","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2600292797","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"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":[]}