Assessment and Prediction of Energy Usage Based on ECV and ARIMA-DBN Methods
Author:
Affiliation:
1. School of Electrical Engineering, Zhejiang University,Hangzhou,China
2. College of Electrical Engineering, Zhejiang University,Hangzhou,China
3. Grid Planning & Research Center, Guangdong Power Grid Corporation,Guangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10511272/10512350/10513021.pdf?arnumber=10513021
Reference16 articles.
1. Empirical analysis of energy consumption and economic growth in Shandong province[J];Zhang;Energy and Energy Conservation,2022
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3. Relationship among energy consumption, economic growth and carbon emission in China based on PVAR model[J];Li;Coal Economic Research,2022
4. The impact of clean energy consumption on economic growth in China: Is environmental regulation a curse or a blessing?
5. Forecasting energy demand in Guizhou province based on GM-ARIMA model[J];Zhang;Productivity Research,2022
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