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This paper presents a comprehensive review conducted with reference to a pioneering, comprehensive, and data-driven fram…
This paper provides a detailed description on the site specifications, data collection method, data records, and data va…
This paper presents a complete and comparative study of solar energy production forecasting in Morocco using six machine…
To address this gap, this study defines prevalent forecasting methodologies and illuminates datasets with diverse charac…
This study presents a comprehensive evaluation of solar power forecasting methods developed between 2021 and 2025, a per…
Globally, renewable power capacity is projected to increase almost 4 600 GW between 2025 and 2030 – double the deploymen…
In this study, the random forest and gradient boosting regressor algorithms were used to produce deterministic and proba…
The study consists of many analytical phases, including exploratory data analysis, power generation data analysis, and i…
Engineering and Technology Coimbatore, India ABSTRACT This paper presents a machine learning-based approach for predicti…
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