A user-friendly and accurate machine learning tool for the evaluation of the worldwide yearly photovoltaic electricity production
While traditional methods for modelling the thermal and electrical behaviour of photovoltaic (PV) modules rely on analytical and empirical techniques, machine learning is gaining interest as a way to reduce the time, expertise, and tools required by designers or experts while maintaining high accura...
Main Authors: | Domenico Mazzeo, Sonia Leva, Nicoletta Matera, Karolos J. Kontoleon, Shaik Saboor, Behrouz Pirouz, Mohamed R. Elkadeem |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723009654 |
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