Considerations on Energy Consumption Prediction in Residential Sector during the COVID-19 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


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Research Paper | Civil and Environmental Engineering | Romania | Volume 10 Issue 12, December 2021 | Popularity: 5 / 10


     

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

Rusu Daniel Sorin


Abstract: After almost twenty years of successful work and promising research in predicting different energy consumptions by developing, training and using artificial neural networks, a new challenge arises in the last two years. The COVID-19 pandemic restrictions and public health measures changed most of the established energy consumption patterns, brought new variables into consideration and took everyone by surprise. The result can be seen in the energy and material crisis that is unfolding as we speak. Our goal in this paper is establishing new ways of approaching public and private energy policies by using machine learning and artificial neural network predictions.


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


Edition: Volume 10 Issue 12, December 2021


Pages: 1144 - 1147


DOI: https://www.doi.org/10.21275/SR211220141131


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Rusu Daniel Sorin, "Considerations on Energy Consumption Prediction in Residential Sector during the COVID-19 Pandemic Conditions using Artificial Neural Networks", International Journal of Science and Research (IJSR), Volume 10 Issue 12, December 2021, pp. 1144-1147, https://www.ijsr.net/getabstract.php?paperid=SR211220141131, DOI: https://www.doi.org/10.21275/SR211220141131

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