{"id":"doi:10.1016/j.enconman.2021.113960","kind":"article","title":"A review on global solar radiation prediction with machine learning models in a comprehensive perspective","authors":["Yong Zhou","Yanfeng Liu","Dengjia Wang","Xiaojun Liu","Yingying Wang"],"author_count":5,"year":2021,"published":"2021-03-13","venue":"Energy Conversion and Management","cited_by":246,"doi":"10.1016/j.enconman.2021.113960","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.enconman.2021.113960","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.enconman.2021.113960","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W3137688634","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Solar Radiation and Photovoltaics"],"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":[]}