Intelligent Data Analytics for Solar Energy Prediction and Forecasting
Advances in Resource Assessment and PV Systems Optimization
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-
72 114 Ft (68 680 Ft + 5% VAT)
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72 114 Ft
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Product details:
- Publisher Elsevier
- Date of Publication 2 June 2025
- ISBN 9780443134821
- Binding Paperback
- No. of pages350 pages
- Size 228x152 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers.
In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.
MoreTable of Contents:
PART A: Solar Energy Prediction and Forecasting Resources
1. Intelligent Data Analytics Tools and Techniques
2. Solar Energy Prediction and Forecasting Resource Assessment
PART B: Market Research and Survey of Intelligent Data Analytics for Solar Energy Prediction and Forecasting
3. Intelligent Data Analytics in Solar Irradiance Prediction
4. Intelligent Data Analytics for Tilt Angle Optimization of PV Systems
5. Intelligent Data Analytics for Electrical Characteristics of Solar PV Modules
PART C: Intelligent Data Analytics Methods for Solar Energy Prediction and Forecasting
6. Intelligent Data Analytics for Feature Extraction and Selection in Solar Radiation Prediction and Forecasting
7. Intelligent Data Analytics for Tilt Angle Optimization for Installation of Solar PV Systems for Maximum Power Generation
8. Intelligent Data Analytics to Analyze the Effect of Tilt Angle on Optimum Sizing and Power Generation of Standalone PV Systems
9. ntelligent Data Analytics to Analyze the Optimum Tilt Angle Influences on Grid Connected PV Systems
10. Intelligent Data Analytics for Maximum Power Prediction of Photovoltaic Modules in Outdoor Conditions
11. Intelligent Data Analytics for Daily Array Yield Prediction of Grid-Interactive Solar PV (GISPV) Plants
