Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
Author | : Anuradha Tomar |
Publisher | : Springer Nature |
Total Pages | : 208 |
Release | : 2023-01-20 |
ISBN-10 | : 9789811964909 |
ISBN-13 | : 9811964904 |
Rating | : 4/5 (09 Downloads) |
Download or read book Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting written by Anuradha Tomar and published by Springer Nature. This book was released on 2023-01-20 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.