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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Hoofdauteurs: | , , |
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Coauteur: | |
Formaat: | Elektronisch E-boek |
Taal: | Engels |
Gepubliceerd in: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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Editie: | 1st ed. 2020. |
Reeks: | SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans,
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Onderwerpen: | |
Online toegang: | Link to Metadata |
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Plaatsingsnummer: |
A1234.567 |
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Kopie 1 | Beschikbaar |