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Analysis Study Research Paper | Civil and Environmental Engineering | Romania | Volume 11 Issue 12, December 2022
Energy Consumption Prediction of Residential Sector in Post-Pandemic Conditions Using Artificial Neural Networks
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