Author: Ofir, R.; Zargari, N.; Navon, A.; Levron, Y.; Belikov, J.
Title: Assessing Energy Generation and Consumption Patterns in Times of Crisis: COVID-19 as a Case Study Cord-id: p2fn6fkf Document date: 2021_1_1
ID: p2fn6fkf
Snippet: 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 de
Document: 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. © 2021 IEEE.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date