2023
DOI: 10.56294/dm2023144
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Improving Photovoltaic System Performance with Artificial Neural Network Control

Salma Benchikh,
Jarou Tarik,
Mohamed khalifa Boutahir
et al.

Abstract: Photovoltaic systems play a pivotal role in renewable energy initiatives. To enhance the efficiency of solar panels amid changing environmental conditions, effective Maximum Power Point Tracking (MPPT) is essential. This study introduces an innovative control approach based on an Artificial Neural Network (ANN) controller tailored for photovoltaic systems. The aim is to elevate the precision and adaptability of MPPT, thereby improving solar energy harvesting. This research integrated an ANN controller into a p… Show more

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Cited by 3 publications
(1 citation statement)
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References 26 publications
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“…For solar energy systems to be designed, operated, and controlled in the most efficient manner possible, (1,2,3) a precise forecasting of solar irradiance is necessary. One of the most crucial variables in solar irradiance prediction models, global horizontal irradiance (GHI), describes the total quantity of solar radiation that impacts a horizontal surface at a specific point.…”
Section: Introductionmentioning
confidence: 99%
“…For solar energy systems to be designed, operated, and controlled in the most efficient manner possible, (1,2,3) a precise forecasting of solar irradiance is necessary. One of the most crucial variables in solar irradiance prediction models, global horizontal irradiance (GHI), describes the total quantity of solar radiation that impacts a horizontal surface at a specific point.…”
Section: Introductionmentioning
confidence: 99%