Predicting Storm Outages Through New Representations of Weather and Vegetation

Predicting Storm Outages Through New Representations of Weather and Vegetation

This paper introduces new developments in an outage prediction model (OPM) for an electric distribution network in the Northeastern United States and assesses their significance to the OPM performance. The OPM uses regression tree models fed by numerical weather prediction outputs, spatially distrib...

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Bibliographic Details
Main Authors: Diego Cerrai, David W. Wanik, Md Abul Ehsan Bhuiyan, Xinxuan Zhang, Jaemo Yang, Maria E. B. Frediani, Emmanouil N. Anagnostou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Power distribution
extreme events
machine learning
numerical weather predictions
power outage prediction
Online Access:https://ieeexplore.ieee.org/document/8656482/

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