Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models. Martin, R., Aler, R., Valls, J. M., & Galván, I. M. Concurrency and Computation: Practice and Experience, 28(4):1261–1274, 2016. Paper doi bibtex @article{DBLP:journals/concurrency/MartinAVG16,
author = {R. Martin and
Ricardo Aler and
Jos{\'{e}} Mar{\'{\i}}a Valls and
In{\'{e}}s Mar{\'{\i}}a Galv{\'{a}}n},
title = {Machine learning techniques for daily solar energy prediction and
interpolation using numerical weather models},
journal = {Concurrency and Computation: Practice and Experience},
volume = {28},
number = {4},
pages = {1261--1274},
year = {2016},
url = {https://doi.org/10.1002/cpe.3631},
doi = {10.1002/cpe.3631},
timestamp = {Sat, 20 May 2017 01:00:00 +0200},
biburl = {https://dblp.org/rec/bib/journals/concurrency/MartinAVG16},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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