International Journal of Integrated Science and Technology
Vol. 1 No. 5 (2023): November 2023

Method for Monitoring and Identifying PV (Photovoltaic) System Failures Using Machine Learning

Meenakshi A Thalor (AISSMS Institute of Information Technology)
Domale Rutuja (Universitas HKBP Nomensen Pematang Siantar)

Article Info

Publish Date
22 Nov 2023

Abstract

Artificial intelligence techniques have been utilized to address intricate practical challenges in various domains and are gaining popularity in the contemporary era. The principal aim of this article is to assess the prediction of power generation in three distinct photovoltaic configurations and the surveillance of measurement sensors, employing artificial intelligence and data extraction, to conform to the behavior of environmental factors in the examined region. Additionally, it encompasses the incorporation of the resulting models into the SCADA system using benchmarks, allowing the operator to actively monitor the power grid. Furthermore, it provides a method for real-time simulation and anticipation of photovoltaic systems and measurement detector within the framework of intelligent system.

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Journal Info
International Journal of Integrated Science and Technology
Website

Abbrev

ijist

Publisher

MULTITECH PUBLISHER

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Social Sciences

Description

International Journal of Integrated Science and Technology (IJIST) is a scientific multidisciplinary research journal published by Multitech Publisher. The aim of this journal publication is to disseminate the research results, conceptual thoughts, improved research methodologies, and ideas that ...