Hierarchical probabilistic forecasting of electricity demand with smart meter data
Decisions regarding the supply of electricity across a power grid must take into consideration the inherent uncertainty in demand. Optimal decision-making requires probabilistic forecasts for demand in a hierarchy with various levels of aggregation, such as substations, cities, and regions. The fore...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Taylor and Francis
2020
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