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

• Main Author: Haben, Stephen (auth)
• Other Authors: Voss, Marcus (auth), Holderbaum, William (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: Cham Springer Nature 2023
• Subjects: Energy technology & engineering; Probability & statistics; Neurosciences; Energy conversion & storage; Automatic control engineering; Load forecasting; Probabilistic forecasting; Smart grid applications; Distribution networks; Low voltage; Smart meter; Demand management; Time series analysis; Time series forecasting; Smart Storage
• Online Access: OAPEN Library: download the publication; OAPEN Library: description of the publication

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.