Real-Time Prediction of the Duration of Distribution System Outages
Systems and Control
2018-07-31 v2 Computation and Language
Optimization and Control
Machine Learning
Abstract
This paper addresses the problem of predicting duration of unplanned power outages, using historical outage records to train a series of neural network predictors. The initial duration prediction is made based on environmental factors, and it is updated based on incoming field reports using natural language processing to automatically analyze the text. Experiments using 15 years of outage records show good initial results and improved performance leveraging text. Case studies show that the language processing identifies phrases that point to outage causes and repair steps.
Keywords
Cite
@article{arxiv.1804.01189,
title = {Real-Time Prediction of the Duration of Distribution System Outages},
author = {Aaron Jaech and Baosen Zhang and Mari Ostendorf and Daniel S. Kirschen},
journal= {arXiv preprint arXiv:1804.01189},
year = {2018}
}
Comments
Appears in IEEE Transactions on Power Systems