Data-Driven Model for Solar Panel System Performance Decision Making: Longitudinal Assessment of Dust Accumulation and Panel Efficiency Degradation

Abstract

The deployment of solar panels plays a vital role in generating clean energy and fulfilling countries' targets for carbon reduction. However, to sustain the energy output of solar panels, regular monitoring and maintenance are crucial. This is particularly significant in countries potentially adverse environments, such as Qatar, where dust poses a significant challenge to solar panel performance, leading to energy degradation. In response to this challenge, this paper proposes a data-driven model that facilitates cost-effective monitoring of homes solar panels and enables decision-makers to make informed decisions by leveraging Generated to Consumed Electrical Energy Ratio data. The model aims to address the impact of dust accumulation on solar panels and support the efficient management of solar panel system,