Fault Detection in Photovoltaic Systems Using Optimized Neural Network
Author:
Publisher
Allerton Press
Subject
Renewable Energy, Sustainability and the Environment
Link
https://link.springer.com/content/pdf/10.3103/S0003701X22600850.pdf
Reference44 articles.
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2. Mellit, A., Tina, G., and Kalogirou, S., Fault detection and diagnosis methods for photovoltaic systems: A review, Renewable Sustainable Energy Rev., 2018, vol. 91, pp. 1–17.
3. Alam, M.K., et al., A comprehensive review of catastrophic faults in PV arrays: Types, detection, and mitigation techniques, IEEE J. Photovoltaic, 2015, vol. 5, pp. 982–997.
4. Falvo, M.C. and Capparella, S., Safety issues in PV systems: Design choices for a secure fault detection and for preventing fire risk, Case Stud. Fire Saf., 2015, vol. 3, pp. 1–16.
5. Krueger, J. and Smith, D., A practical approach to fire hazard analysis for offshore structures, J. Hazard Mater., 2003, vol. 104, pp. 107–122.
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