INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Fault analysis in solar photovoltaic (PV) arrays is essential to increase reliability, and improve efficiency and safety in PV systems. Conventional fault protection methods are usually employed to overcome the challenge however conventional protection is only effective in isolating faulty circuits in time of large current flow and remains inactive in case of low fault currents and may cause problems in long run. The model of the different faults emulates the different PV fault conditions which are essential for a healthy PV power system analysis. The model is a solution to classify the potential faults during fault conditions to cut down on the time and cost invested in fault analysis through human analysis. The model is achieved through the use of Artificial Intelligence and Machine learning techniques. The model performance is matched along with specified vectors to check the accuracy using the confusion matrix to ensure good performance in the design. The simulated results determined that the fault diagnosis scheme can correctly classify faults with high efficiency making the power plant troubleshooting process easier. The entire plant characteristics are got from the fed data and the model is trained to capture the entire system behaviour for future instance classification
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"Solar PV Module Fault Classification using Artificial Intelligence and Machine Learning Techniques", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.b170-b187, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301123.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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