Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data

arXiv:2404.03115v1 Announce Type: new
Abstract: This paper presents a deep learning-based approach for hourly power outage probability prediction within census tracts encompassing a utility company's service territory. Two distinct deep learning models, conditional Multi-Layer Perceptron (MLP) and unconditional MLP, were developed to forecast power outage probabilities, leveraging a rich array of input features gathered from publicly available sources including weather data, weather station locations, power infrastructure maps, socio-economic and demographic statistics, and power outage records. Given a one-hour-ahead weather forecast, …

abstract arxiv census cs.lg cs.sy data deep learning economic eess.sy forecast infrastructure layer mlp outage paper perceptron power prediction probability service type utility weather