Open Access
Short‐term Prediction—An Overview
Author(s) -
Landberg Lars,
Giebel Gregor,
Nielsen Henrik Aalborg,
Nielsen Torben,
Madsen Henrik
Publication year - 2003
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.96
Subject(s) - term (time) , horizon , set (abstract data type) , operations research , predictive power , computer science , wind power , engineering , econometrics , industrial engineering , economics , mathematics , electrical engineering , epistemology , physics , geometry , quantum mechanics , programming language , philosophy
Abstract This article gives an overview of the different methods used today for predicting the power output from wind farms on the 1–2 day time horizon. It describes the general set‐up of such prediction systems and also gives examples of their performance. Copyright © 2003 John Wiley & Sons, Ltd.