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...
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2020, 2020
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Edition: | 1st ed. 2020 |
Series: | SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preface
- Introduction
- Short Term Load Forecasting
- Extreme Value Theory
- Extreme Value Statistics
- Case Study
- References
- Index