Advancing Solar Power Prediction of p-Si Panel By Considering Temperature and Solar Irradiance Fluctuations

This article presents a comparative analysis of electrical models for a p-type silicon (p-Si) solar panel, with the objective of improving the accuracy of solar energy prediction under variable environmental conditions. It's important to understand the fluctuations of temperature and solar irradiance on photovoltaic (PV) performance for efficient energy production and grid integration. This article uses a comparative analysis between the simulated and the experimental curve, to understand the interaction between temperature, solar irradiation, and solar panel power output. Furthermore, by taking these factors into consideration in the model, we aim to provide a more accurate long-term prediction of solar power production. The results of this article are expected to contribute significantly to the improvement of solar energy forecasting models, helping energy planners, grid operators and system integrators to optimize the deployment and operation of solar energy systems

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-06-30
DOI
https://doi.org/10.1051/epjconf/202533003014/pdf
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

Advancing Solar Power Prediction of p-Si Panel By Considering Temperature and Solar Irradiance Fluctuations

Mohamed Bouzelmad, Abdellah Asbayou, A. Soussi, Lahoussine Bouhouch et al.
Springer Link (Chiba Institute of Technology)
Photovoltaic System Optimization Techniques
article

Advancing Solar Power Prediction of p-Si Panel By Considering Temperature and Solar Irradiance Fluctuations

Mohamed Bouzelmad, Abdellah Asbayou, A. Soussi, Lahoussine Bouhouch, Ahmed Ihlal, Ismail Isknan
article en

Abstract

This article presents a comparative analysis of electrical models for a p-type silicon (p-Si) solar panel, with the objective of improving the accuracy of solar energy prediction under variable environmental conditions. It's important to understand the fluctuations of temperature and solar irradiance on photovoltaic (PV) performance for efficient energy production and grid integration. This article uses a comparative analysis between the simulated and the experimental curve, to understand the interaction between temperature, solar irradiation, and solar panel power output. Furthermore, by taking these factors into consideration in the model, we aim to provide a more accurate long-term prediction of solar power production. The results of this article are expected to contribute significantly to the improvement of solar energy forecasting models, helping energy planners, grid operators and system integrators to optimize the deployment and operation of solar energy systems

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 49%
Photovoltaic System Optimization Techniques
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