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...
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| Other Authors: | , |
| Format: | Book Chapter |
| Published: |
Cham
Springer Nature
2020
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| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
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Internet
Get FullteksDOAB: description of the publication
3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |