COMPAORE, Ousmane W. and HOBLOS, Galeb and KOALAGA, Zacharie (2022) Artificial Neural Network based fault diagnosis in an isolated photovoltaic generator. In: Proceedings of the 4th edition of the Computer Science Research Days, JRI 2021, 11-13 November 2021, Bobo-Dioulasso, Burkina Faso.
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Abstract
The efficiency of a photovoltaic (PV) system depends not only on environmental and operating conditions, but also on manufacturing. This dependence is intrinsically linked to parameters such as Rs, Rsh, Ncell or Iph. In other words, a good PV generator (PVG) is one where the power delivered by the P
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:18 |
| Last Modified: | 17 Apr 2026 06:17 |
| URI: | http://eprints.eai.eu/id/eprint/38662 |
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