{"id":"doi:10.1016/j.enconman.2016.05.025","kind":"article","title":"Univariate and multivariate methods for very short-term solar photovoltaic power forecasting","authors":["Mashud Rana","Irena Koprinska","Vassilios Georgios Agelidis"],"author_count":3,"year":2016,"published":"2016-05-25","venue":"Energy Conversion and Management","cited_by":214,"doi":"10.1016/j.enconman.2016.05.025","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.enconman.2016.05.025","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.enconman.2016.05.025","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2402682637","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":[]}