LAPSE:2023.6882v1
Published Article
LAPSE:2023.6882v1
Financial Hazard Prediction Due to Power Outages Associated with Severe Weather-Related Natural Disaster Categories
February 24, 2023
Abstract
Severe weather conditions not only damage electric power infrastructure, and energy systems, but also affect millions of users, including residential, commercial or industrial consumers. Moreover, power outages due to weather-related natural disasters have been causing financial losses worth billions of US dollars. In this paper, we analyze the impact of power outages on the revenue of electric power suppliers, particularly due to the top five weather-related natural disasters. For this purpose, reliable and publicly available power outage events data are considered. The data provide the time of the outage event, the geographic region, electricity consumption and tariffs, social and economic indicators, climatological annotation, consumer category distribution, population and land area, and so forth. An exploratory analysis is carried out to reveal the impact of weather-related disasters and the associated electric power revenue risk. The top five catastrophic weather-related natural disaster categories are investigated individually to predict the related revenue loss. The most influencing parameters contributing to efficient prediction are identified and their partial dependence on revenue loss is illustrated. It was found that the electric power revenue associated with weather-related natural disasters is a function of several parameters, including outage duration, number of customers, tariffs and economic indicators. The findings of this research will help electric power suppliers estimate revenue risk, as well as authorities to make risk-informed decisions regarding the energy infrastructure and systems planning.
Keywords
electric power, prediction, revenue loss, severe weather disasters
Suggested Citation
Ali R, Khosa I, Armghan A, Arshad J, Rabbani S, Alsharabi N, Hamam H. Financial Hazard Prediction Due to Power Outages Associated with Severe Weather-Related Natural Disaster Categories. (2023). LAPSE:2023.6882v1
Author Affiliations
Ali R: Department of Electrical Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan
Khosa I: Department of Electrical Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan [ORCID]
Armghan A: Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia [ORCID]
Arshad J: Department of Electrical Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan [ORCID]
Rabbani S: Department of Electrical Engineering, Lahore College for Women University, LCWU Lahore, Lahore 54000, Pakistan
Alsharabi N: College of Computer Science and Engineering, University of Hail, Hail 55476, Saudi Arabia; College of Engineering and Information Technology, Amran University, Amran 9677, Yemen [ORCID]
Hamam H: Faculty of Engineering, Université de Moncton, Moncton, NB E1A 3E9, Canada; International Institute of Technology and Management, Commune d’Akanda, Libreville P.O. Box 1989, Gabon; Spectrum of Knowledge Production & Skills Development, Sfax 3027, Tunis [ORCID]
Journal Name
Energies
Volume
15
Issue
24
First Page
9292
Year
2022
Publication Date
2022-12-07
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15249292, Publication Type: Journal Article
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LAPSE:2023.6882v1
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https://doi.org/10.3390/en15249292
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