Predicting Impact of Weather Caused Blackouts on Electricity Customers Based on Risk Assessment Conference Paper

abstract

• 2016 IEEE. This study evaluates the outage probability and electricity customer cost under the potential weather caused power blackouts. Risk assessment of the weather impact on customers is implemented and visualized in ArcGIS map. The methodology correlates the historical large power outage events with the corresponding weather condition of the time, uses weather forecast data to assess the risk for customers, and compares the results in different predicted weather conditions.

name of conference

• 2016 IEEE Power and Energy Society General Meeting (PESGM)

authors

• Kezunovic, Mladen

published proceedings

• 2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM)

author list (cited authors)

• Yan, Q., Dokic, T., & Kezunovic, M.

citation count

• 11

complete list of authors

• Yan, Qin||Dokic, Tatjana||Kezunovic, Mladen

publication date

• July 2016

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Power and Energy Society General Meeting  Journal

keywords

• Blackout
• Customer Impact
• Data Analysis
• Geographical Information System
• Meteorology
• Risk Assessment

Digital Object Identifier (DOI)

• 10.1109/pesgm.2016.7741871

International Standard Book Number (ISBN) 13

• 9781509041688

start page

• 1

end page

• 5

volume

• 2016-November

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fpesgm.2016.7741871