Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

Tomar, Anuradha
Gaur, Prerna
Jin, Xiaolong

Hardcover

Series: Lecture Notes in Electrical Engineering, Book 956

Technology & EngineeringGeneral Computers

ISBN10: 9811964890
ISBN13: 9789811964893
Publisher: Springer
Published: Jan 21 2023
Pages: 198
Weight: 1.10
Height: 0.16 Width: 5.91 Depth: 9.13
Language: English
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.

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