Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
2023 ed.
Book Details
Format
Paperback / Softback
Book Series
Lecture Notes in Electrical Engineering
ISBN-10
9811964920
ISBN-13
9789811964923
Edition
2023 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 21st, 2024
Print length
198 Pages
AI Summary
Ksh 25,200.00
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This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.
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