Enhancing Renewable Energy Planning: Machine Learning-Based Solar Radiation Prediction

Jahnavi Preethi Vemula; Bhargavi Bhargavi; Uday Chandu Ramisetty; Sri Pavani Yasaswini Batchu; Mohammed Ali Shaik

doi:10.1007/978-981-96-4539-8_17

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Enhancing Renewable Energy Planning: Machine Learning-Based Solar Radiation Prediction

Jahnavi Preethi Vemula Bhargavi Bhargavi Uday Chandu Ramisetty Sri Pavani Yasaswini Batchu Mohammed Ali Shaik

Year: 2025 Algorithms for intelligent systems Pages: 241-252 Publisher: Springer Nature

DOI: 10.1007/978-981-96-4539-8_17

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Keywords:

Renewable energy Radiation Computer science Solar energy Energy (signal processing) Artificial intelligence Environmental science Machine learning Engineering Physics Electrical engineering Optics

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Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Photovoltaic System Optimization Techniques

Physical Sciences → Energy → Renewable Energy, Sustainability and the Environment

Enhancing Renewable Energy Planning: Machine Learning-Based Solar Radiation Prediction

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