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.