A data‐driven approach for predicting vegetation‐related outages in power distribution systems
Author:
Affiliation:
1. Electrical and Computer Engineering Department University of North Carolina at Charlotte Charlotte NC U.S.A.
2. Algorithms and Analytics Department Stitch Fix Inc. San Francisco CA U.S.A.
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12154
Reference26 articles.
1. Optimal vegetation maintenance scheduling of overhead electric power distribution systems
2. Fuzzy Logic Approach to Predictive Risk Analysis in Distribution Outage Management
3. The effect of weather on grid systems and the reliability of electricity supply
4. Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies
5. A comparison framework for distribution system outage and fault location methods
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3. Ensemble Deep Learning Model for Power System Outage Prediction for Resilience Enhancement;2023 North American Power Symposium (NAPS);2023-10-15
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