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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| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Springer Nature
2021
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| Subjects: | |
| Online Access: | 1007022 |
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