This study presents a novel approach to optimize the configurations of photovoltaic (PV) arrays through the application of machine learning-assisted methodologies. What is a PV array? The array is bui...
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Currently, solar energy is one of the leading renewable energy sources that help support energy transition into decarbonized energy systems for a safer future. This work provides a comprehensive
The present study represents the design of a new auxiliary system to reflect solar radiations for PV panels. The goal is to choose the best mirror height for the proposed system, in
This study evaluates and compares the performance of several novel metaheuristic algorithms for the extraction of electrical parameters from specific photovoltaic (PV) panels.
This process involves the application of data-driven models and algorithms to predict the amount of energy generated by a single solar panel or an entire solar array over a specified timeframe, ranging
To achieve effective and accurate segmentation of photovoltaic panels in various working contexts, this paper proposes a comprehensive image segmentation strategy that integrates an improved
This study explores the integration of thermoelectric generators (TEGs) and phase change materials (PCMs) to enhance the efficiency of photovoltaic (PV) panels in high-temperature
This paper aims to identify through a systematic review and analysis the role of artificial intelligence algorithms in photovoltaic systems analysis and control. The main novelty of this work is
A model and method for auxiliary review of distributed PV grid-connected schemes using data mining algorithms based on the Bag-of-Words Model, Word Embedding Model, and Part-of-Speech Tagging
The document analyzes auxiliary energy consumption in utility-scale solar PV power plants of various capacities. It examines the average daily auxiliary consumption and percentage contribution of
Abstract Accurate identification of photovoltaic (PV) cell and module parameters is essential for reliable electrical modeling, performance assessment, and long-term energy yield
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