DocumentCode :
3608531
Title :
Solar Forecasting: Methods, Challenges, and Performance
Author :
Tuohy, Aidan ; Zack, John ; Haupt, Sue Ellen ; Sharp, Justin ; Ahlstrom, Mark ; Dise, Skip ; Grimit, Eric ; Mohrlen, Corinna ; Lange, Matthias ; Garcia Casado, Mayte ; Black, Jon ; Marquis, Melinda ; Collier, Craig
Author_Institution :
Electr. Power Res. Inst., Chicago, IL, USA
Volume :
13
Issue :
6
fYear :
2015
Firstpage :
50
Lastpage :
59
Abstract :
The deployment of solar-based electricity generation, especially in the form of photovoltaics (PVs), has increased markedly in recent years due to a wide range of factors including concerns over greenhouse gas emissions, supportive government policies, and lower equipment costs. Still, a number of challenges remain for reliable, efficient integration of solar energy. Chief among them will be developing new tools and practices that manage the variability and uncertainty of solar power.
Keywords :
photovoltaic power systems; solar power; solar power stations; greenhouse gas emissions; lower equipment costs; photovoltaics; solar energy; solar forecasting; solar power; solar-based electricity generation; supportive government policies; Photovoltaics; Predictive models; Real-time systems; Satellites; Solar energy; Wind forecasting; Wind power generation; Wind speed;
fLanguage :
English
Journal_Title :
Power and Energy Magazine, IEEE
Publisher :
ieee
ISSN :
1540-7977
Type :
jour
DOI :
10.1109/MPE.2015.2461351
Filename :
7299804
Link To Document :
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