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...
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing
2023.
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009743531506719 |
Tabla de Contenidos:
- 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.
