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Research Article |

A Review of Power Prediction Methods Under the COVID-19 Pandemic

Load forecasting, Prediction Models, COVID-19, Time Series Analysis, Combined models, Electricity is the foundation of national construction, and accurate electricity load forecasting is an important guarantee for the normal operation of power systems. During the COVID-19 pandemic, the electricity demand of various countries has fluctuated significantly due to various factors, which has had a certain impact on national development. To assist the government in planning power supply rationally and formulating plans in advance based on electricity demand, it is necessary to accurately predict electricity demand. Therefore, this paper systematically analyzes and introduces the development history of electricity load forecasting technology, which helps to better cope with the impact of the COVID-19 pandemic on the power industry. This paper introduces the research status of electricity load forecasting technology, including time series methods, machine learning methods, deep learning methods, hybrid model methods, and analyzes the advantages and disadvantages of each forecasting method. Establishing a model through these methods can accurately and effectively predict electricity demand, providing technical guarantees and theoretical support for the stable development and long-term construction of the country. Finally, this paper summarizes the current problems in electricity forecasting and the trends of future improvement and development. Through reviewing and summarizing the article, it can provide researchers with ideas and technical routes to solve problems, and also help non-professionals interested in this issue to have a general understanding.

Load Forecasting, Prediction Models, COVID-19, Time Series Analysis, Combined Models

APA Style

Dong, Y., Yan, C. (2023). A Review of Power Prediction Methods Under the COVID-19 Pandemic. International Journal of Economy, Energy and Environment, 8(5), 113-117. https://doi.org/10.11648/j.ijeee.20230805.12

ACS Style

Dong, Y.; Yan, C. A Review of Power Prediction Methods Under the COVID-19 Pandemic. Int. J. Econ. Energy Environ. 2023, 8(5), 113-117. doi: 10.11648/j.ijeee.20230805.12

AMA Style

Dong Y, Yan C. A Review of Power Prediction Methods Under the COVID-19 Pandemic. Int J Econ Energy Environ. 2023;8(5):113-117. doi: 10.11648/j.ijeee.20230805.12

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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