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Journal of Renewable Energy
Volume 2017, Article ID 2437387, 7 pages
https://doi.org/10.1155/2017/2437387
Research Article

Feature Selection and ANN Solar Power Prediction

1Department of Computer Science, City College of San Francisco (CCSF), Mailbox LB8, 50 Phelan Ave., San Francisco, CA 94112, USA
2Jack Baskin School of Engineering, University of California, Santa Cruz, 1156 High Street, Mail Stop SOE2, Santa Cruz, CA 95064, USA

Correspondence should be addressed to Joel Kubby; ude.cscu.eos@ybbukj

Received 8 May 2017; Revised 14 September 2017; Accepted 16 October 2017; Published 8 November 2017

Academic Editor: Ben Xu

Copyright © 2017 Daniel O’Leary and Joel Kubby. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Daniel O’Leary and Joel Kubby, “Feature Selection and ANN Solar Power Prediction,” Journal of Renewable Energy, vol. 2017, Article ID 2437387, 7 pages, 2017. https://doi.org/10.1155/2017/2437387.