Smart short-term electric load forecasting considering the Covid-19 epidemic impact based on deep learning-Reference-Cited by-同舟云学术

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Smart short-term electric load forecasting considering the Covid-19 epidemic impact based on deep learning

Published:2022-12-28 Issue: Volume: Page:
ISSN:
Container-title:2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)
language:
Short-container-title:

Author:

Shobeiry Seyed Mohammad¹,Mehrabani Ali¹,Rahimi Mohammad Ali¹

Affiliation:

1. Shahid Beheshti University,Faculty of Electrical Engineering,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10043829/10043862/10044031.pdf?arnumber=10044031

Reference29 articles.

1. Changes in Electricity Load Profiles Under COVID-19: Implications of “The New Normal” for Electricity Demand;burleyson;engXiv Preprints,2020

2. The impact of different COVID-19 containment measures on electricity consumption in Europe

3. Impact analysis of COVID-19 responses on energy grid dynamics in Europe

4. Effects of the COVID‐19 pandemic on the Brazilian electricity consumption patterns

5. Covid-19 infection forecasting based on deep learning in iran;azarafza;medRxiv,2020

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