Building-integrated photovoltaics forecasting: Machine learning models for irradiance and power, feasibility, and recommended directions
Building-integrated photovoltaics (BIPV) are central to energy-efficient buildings, yet forecasting irradiance and power with operational practicality remains challenging. This review analyzes 70 studies on machine learning approaches for BIPV forecasting and organizes the literature by task and dep...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2026
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29240/2/01941191120252128322525.pdf http://eprints.utem.edu.my/id/eprint/29240/ https://www.sciencedirect.com/science/article/pii/S095219762503146X https://doi.org/10.1016/j.engappai.2025.113115 |
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