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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| Päätekijät: | , , |
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| Yhteisötekijä: | |
| Aineistotyyppi: | Elektroninen E-kirja |
| Kieli: | englanti |
| Julkaistu: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Painos: | 1st ed. 2020. |
| Sarja: | SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans,
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| Aiheet: | |
| Linkit: | Link to Metadata |
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