Forecasting and Assessing Risk of Individual Electricity Peaks
The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme valu...
| Autores principales: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham
Springer Nature
2020
Cham : 2020. |
| Edición: | 1st ed. 2020. |
| Colección: | SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans,
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009430275506719 |
Tabla de Contenidos:
- Preface
- Introduction
- Short Term Load Forecasting
- Extreme Value Theory
- Extreme Value Statistics
- Case Study
- References
- Index.
