Cited By
View all- Brown MRenau J(2011)ReRackACM SIGMETRICS Performance Evaluation Review10.1145/2160803.216086539:3(77-81)Online publication date: 21-Dec-2011
SolarCAST: using widely accessible environmental variables to forecast solar power
Pages 377 - 380
Abstract
The study in renewable energy is one of great discussion, since we, as energy users, are being faced with the dilemma of running out of non-renewable energy sources. A popular alternative to non-renewable energy, especially for residential areas, is solar energy. This paper demonstrates that it is possible to derive a function using linear regression and least squares approximation techniques with information from an online weather source, such as www.accuweather.com, which can predict, with little error, the voltage and photovoltaic (PV) energy that can be expected for the day. We provide empirical results using a solar system.
References
[1]
Bird, Richard E. and Hulstrom, Roland L. 1981. A Simplified Clear Sky Model for Direct and Diffuse Insolation on Horizontal Surfaces.
[2]
Dibble, Theodore. July 17 2007. SZA Calculation .xls spreadsheet.
[3]
Petroleum. 2007. Britannica Student Encyclopedia.
Index Terms
- SolarCAST: using widely accessible environmental variables to forecast solar power
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Published In
March 2008
548 pages
ISBN:9781605581057
DOI:10.1145/1593105
Copyright © 2008 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 March 2008
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ACM SE08
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Overall Acceptance Rate 502 of 1,023 submissions, 49%
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View all- Brown MRenau J(2011)ReRackACM SIGMETRICS Performance Evaluation Review10.1145/2160803.216086539:3(77-81)Online publication date: 21-Dec-2011
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