Novel Hybrid Machine Learning Algorithms for Lakes Evaporation and Power Production using Floating Semitransparent Polymer Solar Cells
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DOI: 10.1007/s11269-023-03565-2
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- Jayashree T R & NV Subba Reddy & U Dinesh Acharya, 2023. "Modeling Daily Reference Evapotranspiration from Climate Variables: Assessment of Bagging and Boosting Regression Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1013-1032, February.
- Rafael M. Almeida & Rafael Schmitt & Steven M. Grodsky & Alexander S. Flecker & Carla P. Gomes & Lu Zhao & Haohui Liu & Nathan Barros & Rafael Kelman & Peter B. McIntyre, 2022. "Floating solar power could help fight climate change — let’s get it right," Nature, Nature, vol. 606(7913), pages 246-249, June.
- Pedro Beça & António C. Rodrigues & João P. Nunes & Paulo Diogo & Babar Mujtaba, 2023. "Optimizing Reservoir Water Management in a Changing Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3423-3437, July.
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Keywords
Machine learning; Evaporation; Solar panels; Water saving and energy;All these keywords.
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