Weather-related power outage model with a growing domain: structure, performance, and generalisability

Weather-related power outage model with a growing domain: structure, performance, and generalisability

The outage prediction model (OPM) is a weather-related machine learning-based power outage model, which has been developed at the University of Connecticut for many years and has recently grown to cover three states and five utility service territories. This is a large heterogeneous domain supported...

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Bibliographic Details
Main Authors: Peter L. Watson, Diego Cerrai, Marika Koukoula, David W. Wanik, Emmanouil Anagnostou
Format: Article
Language:English
Published: Wiley 2020-06-01
Series:The Journal of Engineering
Subjects:
learning (artificial intelligence)
pattern clustering
power distribution reliability
power transmission reliability
statistical analysis
storms
power system reliability
weather-related power outage model
growing domain
generalisability
outage prediction model
weather-related machine learning-based power outage model
utility service territories
heterogeneous domain
spatial organisation
training structure
modelling methodology
modelling system
clustering analysis
performance improvements
opm modelling approach
different service territories
power utilities
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1274

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1274

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