Development of Weather Monitoring and Forecasting System Using Reinforcement Learning Algorithms for Enhanced Solar Power Response in PV System

Rajasekaran S., Prem A. T., Dhinesh G., Ramu R.

2025

Abstract

This work deliberates the integrated approach on using reinforcement learning algorithms for photovoltaic system performance and efficiency optimization in concurrence with monitoring and forecasting weather conditions. Thus, the proposed novel architecture of continuously monitoring and predicting meteorological variables such as temperature, humidity, cloud cover, and irradiance with Reinforcement learning algorithm to adaptively control and manage the PV system operations based on real-time weather data to maximize energy output, improve system stability, and reduce the power generation costs. By using this method, the overall efficiency increased from 74% to 91%, and also the accuracy increased with response time. In this work, it is observed that the use of Reinforcement Learning in weather forecasting has shown significant improvement in efficiency and accuracy than the traditional method.

Paper Citation

in Harvard Style

S. R., T. P., G. D. and R. R. (2025). Development of Weather Monitoring and Forecasting System Using Reinforcement Learning Algorithms for Enhanced Solar Power Response in PV System. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 679-685. DOI: 10.5220/0013903800004919

in Bibtex Style

@conference{icrdicct`2525,
author={Rajasekaran S. and Prem T. and Dhinesh G. and Ramu R.},
title={Development of Weather Monitoring and Forecasting System Using Reinforcement Learning Algorithms for Enhanced Solar Power Response in PV System},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={679-685},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013903800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Development of Weather Monitoring and Forecasting System Using Reinforcement Learning Algorithms for Enhanced Solar Power Response in PV System
SN - 978-989-758-777-1
AU - S. R.
AU - T. P.
AU - G. D.
AU - R. R.
PY - 2025
SP - 679
EP - 685
DO - 10.5220/0013903800004919
PB - SciTePress