Assessing Energy Generation and Consumption Patterns in Times of Crisis: COVID-19 as a Case Study

Ron Ofir, Noa Zargari, Aviad Navon, Yoash Levron, Juri Belikov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The COVID-19 pandemic and the preventive measures that followed it have significantly impacted generation and consumption patterns in power systems across the globe, calling for new tools to efficiently evaluate generation and load profiles. In this work, we propose one possible tool, which we name the smoothness index, that evaluates a profile based on both its load factor and ramp rate. The proposed index is a modification of the coefficient of variation, also known as the relative standard deviation, and is computed by transforming the profile under study to the frequency domain, and calculating the weighted norm of the signal, where higher frequencies are associated with larger weights. We demonstrate our method by studying the effects of the COVID-19 pandemic and government policies on load and generation profiles in several European countries.

Original languageEnglish
Title of host publication2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
ISBN (Electronic)9781665435970
DOIs
StatePublished - 28 Jun 2021
Event2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spain
Duration: 28 Jun 20212 Jul 2021

Publication series

Name2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

Conference

Conference2021 IEEE Madrid PowerTech, PowerTech 2021
Country/TerritorySpain
CityMadrid
Period28/06/212/07/21

Keywords

  • COVID-19
  • SARS-CoV-2
  • coronavirus
  • energy assessment
  • power systems
  • renewable energy

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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