Assisting PV Experts in On-Site Condition Evaluation of PV Modules Using Weather-Independent Dark IV String Curves, Artificial Intelligence and a Web-Database

Author:

Rüter Joachim,Meyer Felix,Behrens Grit,Mertens Konrad,Diehl Matthias

Publisher

Springer International Publishing

Reference15 articles.

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2. Basoglu, C., Behrens, G., Mertens, K., Diehl, M.: Anlagenevaluation mittels Hell- und Dunkelkennlinien und Methoden des Maschinellen Lernens. In: 35. PV-Symposium, Bad Staffelstein (2020)

3. Basoglu, C., Behrens, G., Mertens, K., Diehl, M.: Comparison of knowledge-based feature vector extraction and geometrical parameters of photovoltaic I-V curves. In: Proceedings of the Conference “Lernen, Wissen, Daten, Analysen”, CEUR Workshop Proceedings, vol. 2738, pp. 70–75. CEUR-WS.org (2020)

4. King, D., Hansen, B., Kratochvil, J., Quintana, M.: Dark current-voltage measurements on photovoltaic modules as a diagnostic or manufacturing tool, pp. 1125–1128 (1997). https://doi.org/10.1109/PVSC.1997.654286

5. Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization (2017)

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