Energy Consumption Prediction of Residential Sector in Post-Pandemic Conditions Using Artificial Neural Networks
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 3 | Views: 309 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Analysis Study Research Paper | Civil and Environmental Engineering | Romania | Volume 11 Issue 12, December 2022 | Popularity: 4.8 / 10


     

Energy Consumption Prediction of Residential Sector in Post-Pandemic Conditions Using Artificial Neural Networks

Rusu Daniel Sorin


Abstract: The lockdown measures for preventing the spread of COVID-19 ended in most countries in the last year. Even so, a lot of things have changed in the routine of most people and mostly in the politics of many companies. The war in Ukraine and the embargo?s set on Russian Federation made the last year extremely unstable not only politically but also on the energy market. The most important qualities of any system are the stability and predictability that allow all players to have clear directions and guidelines. This being said, most predictability methods that are commonly used for establishing energy policies are no longer accurate. The purpose of this paper is to present alternative predictive methods that can take into consideration the new dynamics on the energy and political unstable conditions. Using Artificial Neural Networks can be a solution for quick determination of energy consumption in such dynamic changing environments.


Keywords: energy consumption, residential sector, artificial neural networks, post-pandemic, public policy, energy crisis


Edition: Volume 11 Issue 12, December 2022


Pages: 1194 - 1198


DOI: https://www.doi.org/10.21275/SR221227191132



Make Sure to Disable the Pop-Up Blocker of Web Browser


Text copied to Clipboard!
Rusu Daniel Sorin, "Energy Consumption Prediction of Residential Sector in Post-Pandemic Conditions Using Artificial Neural Networks", International Journal of Science and Research (IJSR), Volume 11 Issue 12, December 2022, pp. 1194-1198, https://www.ijsr.net/getabstract.php?paperid=SR221227191132, DOI: https://www.doi.org/10.21275/SR221227191132

Similar Articles

Downloads: 2 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2

Research Paper, Civil and Environmental Engineering, India, Volume 13 Issue 12, December 2024

Pages: 1414 - 1426

Harnessing Solar Energy for Wastewater Treatment: A Comprehensive Analysis of Sustainable Solutions

Savar Girdhar

Share this Article

Downloads: 4 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper, Civil and Environmental Engineering, Romania, Volume 10 Issue 12, December 2021

Pages: 1144 - 1147

Considerations on Energy Consumption Prediction in Residential Sector during the COVID-19 Pandemic Conditions using Artificial Neural Networks

Rusu Daniel Sorin

Share this Article

Downloads: 129 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper, Civil and Environmental Engineering, Bangladesh, Volume 6 Issue 9, September 2017

Pages: 377 - 381

Municipal Solid Waste Landfill in Dhaka: A Sustainable Approach for Energy Generation

Kazi Akib Bin Asad, Nadim Reza Khandaker

Share this Article
Top