Machine learning for solar trackers-Reference-Cited by-同舟云学术

Machine learning for solar trackers

Published:2019 Issue: Volume: Page:
ISSN:0094-243X
Container-title:SOLARPACES 2018: International Conference on Concentrating Solar Power and Chemical Energy Systems
language:
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Author:

Carballo Jose A.,Bonilla Javier,Berenguel Manuel,Fernández-Reche Jesús,García Ginés

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5117524

Reference19 articles.

1. Solar tracking systems: Technologies and trackers drive types – A review

2. Advances in solar photovoltaic tracking systems: A review

3. Recent advancements and challenges in Solar Tracking Systems (STS): A review

4. Camacho E.F., Berenguel M., Rubio F. R., Martínez D., Control issues in solar systems, in: Control of Solar Energy Systems, Springer, 2012, pp. 25–47.

5. Carballo, J. A., Bonilla, J., Roca, L., Berenguel, M. New low-cost solar tracking system based on open source hardware for educational purposes. Under Review.

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