Weather-based interruption prediction in the smart grid utilizing chronological data

Weather-based interruption prediction in the smart grid utilizing chronological data

This unique study will demonstrate a combined effect of weather parameters on the total number of power distribution interruptions in a region. Based on common weather conditions, a theoretical model can predict interruptions and risk assessment with immediate weather conditions. Using daily and hou...

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Bibliographic Details
Main Authors: Arif I. Sarwat, Mohammadhadi Amini, Alexander Domijan, Aleksandar Damnjanovic, Faisal Kaleem
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Interruption prediction
Modeling
Artificial neural networks
Self-healing
Smart grid
Weather conditions effect
Online Access:https://ieeexplore.ieee.org/document/8946803/

Internet

https://ieeexplore.ieee.org/document/8946803/

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