Abstract
Utilising renewable energy sources is becoming more popular as a way to mitigate the effects of climate change and global warming. In an effort to make renewable energy more predictable, numerous prediction techniques have been developed. The objectives of this study are best illustrated by this chapter, which aims to provide a review and analysis of machine-learning and computer vision techniques in renewable solar energy projections. In addition to machine-learning and computer vision techniques for renewable solar energy projections, this chapter also focuses on the objective to deliver an optimized academic outcome, potentially necessary for the development of new solar energy fields. This could significantly contribute to the amplified usage of solar energy, which is a sustainable and cleaner energy source.
Published Version
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