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A Study of Computer Vision, Deep Learning, and Machine Learning Techniques for Forecasting Solar Power and Renewable Energy

A Study of Computer Vision, Deep Learning, and Machine Learning Techniques for Forecasting Solar Power and Renewable Energy

Jayeeta Majumder, Pinaki Pratim Acharjya, Subhabrata Barman, Santanu Koley
Copyright: © 2024 |Pages: 19
ISBN13: 9798369323557|ISBN13 Softcover: 9798369347041|EISBN13: 9798369323564
DOI: 10.4018/979-8-3693-2355-7.ch004
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MLA

Majumder, Jayeeta, et al. "A Study of Computer Vision, Deep Learning, and Machine Learning Techniques for Forecasting Solar Power and Renewable Energy." Machine Learning and Computer Vision for Renewable Energy, edited by Pinaki Pratim Acharjya, et al., IGI Global, 2024, pp. 66-84. https://doi.org/10.4018/979-8-3693-2355-7.ch004

APA

Majumder, J., Acharjya, P. P., Barman, S., & Koley, S. (2024). A Study of Computer Vision, Deep Learning, and Machine Learning Techniques for Forecasting Solar Power and Renewable Energy. In P. Acharjya, S. Koley, & S. Barman (Eds.), Machine Learning and Computer Vision for Renewable Energy (pp. 66-84). IGI Global. https://doi.org/10.4018/979-8-3693-2355-7.ch004

Chicago

Majumder, Jayeeta, et al. "A Study of Computer Vision, Deep Learning, and Machine Learning Techniques for Forecasting Solar Power and Renewable Energy." In Machine Learning and Computer Vision for Renewable Energy, edited by Pinaki Pratim Acharjya, Santanu Koley, and Subhabrata Barman, 66-84. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-2355-7.ch004

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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.

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