Core Concepts and Methods in Load Forecasting With Applications in Distribution Networks /

• Main Authors: Haben, Stephen (Author), Voss, Marcus (Author), Holderbaum, William (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
• Edition: 1st ed. 2023.
• Subjects: Electric power-plants.; Probabilities.; Electric power production.; Neural circuitry.; Energy storage.; Control engineering.; Robotics.; Automation.; Power Stations.; Applied Probability.; Electrical Power Engineering.; Neural Circuits.; Mechanical and Thermal Energy Storage.; Control, Robotics, Automation.
• Online Access: Link to Metadata

Summary

This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks. From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (including an example implemented through shared code). Advanced topics for further research are also included, as well as a detailed appendix on where to find data and additional reading. As the smart grid and low carbon economy continue to evolve, the proper development of forecasting methods is vital. This book is a must-read for students, industry professionals, and anyone interested in forecasting for smart control applications, demand-side response, energy markets, and renewable utilization.

Physical Description

XV, 331 p. 139 illus., 89 illus. in color. online resource.

ISBN

9783031278525

DOI

10.1007/978-3-031-27852-5

Access

Open Access