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

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...

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Bibliographic Details
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
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Table of Contents:

Chapter 1. Introduction
Chapter 2. Primer on Distribution Electricity Networks
Chapter 3. Primer on Statistics and Probability
Chapter 4. Primer on Machine Learning
Chapter 5. Time Series Forecasting: Core Concepts and Definitions
Chapter 6. Load Data: Preparation, Analysis and Feature Generation
Chapter 7. Verification and Evaluation of Load Forecast Models
Chapter 8. Load Forecasting Model Training and Selection
Chapter 9. Benchmark and Statistical Point Forecast Methods
Chapter 10. Machine Learning Point Forecasts Methods
Chapter 11. Probabilistic Forecast Methods
Chapter 12. Load Forecast Process
Chapter 13. Advanced and Additional Topics
Chapter 14. Case Study: Low Voltage Demand Forecasts
Chapter 15. Selected Applications and Examples
Appendix.

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

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