Wind power forecasting based on hourly wind speed data in South Korea using machine learning algorithms
Crossref DOI link: https://doi.org/10.1007/s12206-022-1125-3
Published Online: 2022-10-03
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kim, Jeonghyeon
Afzal, Asif
Kim, Hyun-Goo
Dinh, Cong Truong
Park, Sung Goon
Text and Data Mining valid from 2022-10-03
Version of Record valid from 2022-10-03
Article History
Received: 26 May 2022
Revised: 2 August 2022
Accepted: 11 August 2022
First Online: 3 October 2022