paper
2020
Applications & impacts
Application study
Classical ML (trees, GP, linear, kernels)6 h–3 days Other
2020-12-18
022
Dec 2020
William O. Taylor, Diego Cerrai, Marika Koukoula et al.
preprint
Describes an operational ML ensemble that predicts storm-driven customer power outages along the US Eastern Seaboard using weather, land cover and infrastructure proxies.
A Success Story: Advancing Outage Prediction Modeling Capabilities for Decision Making
In one sentence. Describes an operational ML ensemble that predicts storm-driven customer power outages along the US Eastern Seaboard using weather, land cover and infrastructure proxies.
Labels
- Topic
- Applications & impacts
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Other
- Status
- Operational
- Identifiers
- DOI:10.1002/essoar.10505473.1 OpenAlex:W3127703291
- Added
- 2026-10-22
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