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Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

Edited by Anuradha Tomar, Edited by Prerna Gaur, Edited by Xiaolong Jin

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normal price: R 5,980.95

Price: R 5,382.95

| book description |

This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. 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.

| product details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer Verlag, Singapore
Published date | 21 Jan 2024
Language |
Format | Paperback / softback
Pages | 198
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8119-6492-3
Readership Age |
BISAC |

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Normally shipped | Usually dispatched in 3 to 4 weeks as supplier is out of stock
Readership Age |
Normal Price | R 7,810.95
 Price | R 7,029.95 | on special |

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