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Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble

Crossref DOI link: https://doi.org/10.1016/j.renene.2017.02.052

Published Print: 2017-08

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Cervone, Guido https://orcid.org/0000-0002-6509-0735
Clemente-Harding, Laura

Alessandrini, Stefano

Delle Monache, Luca
Funding

Funding for this research was provided by:

Office of Naval Research

Office of Naval Research (00014-14-1-0208)

National Science Foundation (1639707)

Plymouth State University (171570)
License Information

Text and Data Mining valid from 2017-08-01

Text and Data Mining valid from 2017-08-01

Accepted Manuscript valid from 2018-03-06
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This article is maintained by: Elsevier

Article Title: Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble

Journal Title: Renewable Energy

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.renene.2017.02.052

Content Type: article

Copyright: Published by Elsevier Ltd.