Predicting Active Solar Power with Machine Learning and Weather Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Polymers and Plastics,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s42824-023-00087-5.pdf
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3. Ardo S, Fernandez Rivas D, Modestino MA et al (2018) Pathways to electrochemical solar-hydrogen technologies. Energy Environ Sci 11:2768–2783. https://doi.org/10.1039/C7EE03639F
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5. Barnhart CJ, Dale M, Brandt AR, Benson SM (2013) The energetic implications of curtailing versus storing solar- and wind-generated electricity. Energy Environ Sci 6:2804–2810. https://doi.org/10.1039/C3EE41973H
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