Veligorskyi, Oleksandr and Chakirov, Roustiam and Vagapov, Yuriy (2015) Artificial Neural Network-based Maximum Power Point Tracker for the Photovoltaic Application. In: 1st International Conference on Industrial Networks and Intelligent Systems.
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Abstract
This paper proposes a new artificial neural network-based maximum power point tracker for photovoltaic application. This tracker significantly improves efficiency of the photovoltaic system with series-connection of photovoltaic modules in non-uniform irradiance on photovoltaic array surfaces. The a
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 10:27 |
| Last Modified: | 17 Apr 2026 18:54 |
| URI: | http://eprints.eai.eu/id/eprint/12835 |
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