Open AccessThe Study of Short-Term Wind Power Generation Prediction Methods Based on Clustering Analysis in Wind Farm
Publication year - 2015
Publication title -
ke chi xu neng yuan
Language(s) - English
Resource type - Journals
eISSN - 2164-9219
pISSN - 2164-9065
DOI - 10.12677/se.2015.53003
Subject(s) - term (time) , wind power , cluster analysis , environmental science , meteorology , engineering , computer science , geography , machine learning , physics , electrical engineering , quantum mechanics