Enterprise Power Consumption Data and GDP Forecasting Based on Ensemble Algorithms

Yibin Xu; Lu He; Ying Liang; Jianhong Si; Yonglong Bao

doi:10.1051/e3sconf/202123301030

All issues

Volume 233 (2021)

E3S Web Conf., 233 (2021) 01030

References

Open Access

Issue		E3S Web Conf. Volume 233, 2021 2020 2^nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)


Article Number		01030
Number of page(s)		4
Section		NESEE2020-New Energy Science and Environmental Engineering
DOI		https://doi.org/10.1051/e3sconf/202123301030
Published online		27 January 2021

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[1] Wang Weiwei. Correlation between enterprise electricity Information data and Macroeconomic Forecast [A]. Power Informatization Professional Committee of Chinese Society of Electrical Engineering.2017 Annual Conference proceedings of power Industry informatization [C].Electric Power Informatization Committee of The Chinese Society of Electrical Engineering: Editorial Department of Telecom Science, Posts and Telecommunications Press,2017:4. [Google Scholar]

[2] Wang Fangfang, WANG Qian. Analysis and Prediction of GDP of Shaanxi Province based on ARIMA Model [J].Industrial Innovation Research,2020(19):22-24. [Google Scholar]

[3] OFFICIAL NEWS; EBRD revised Kazakhstan’s GDP forecast for 2020 further down[J]. Interfax: Kazakhstan Mining Weekly,2020. [Google Scholar]

[4] Zhang Yin, Zhan Qiwen, Hu Weian.GDP forecast based on NPP-VIIRS night Light Data -- A case study of Jiangxi Province [J]. Automation Applications,2020(09):59-61. [Google Scholar]

[5] Ethen Alpaydin. Introduction to Machine Learning [M]. Machinery Industry Press: Beijing,2014.3:62. [Google Scholar]

[6] Zhou Zhihua. Machine Learning [M]. Tsinghua University Press: Beijing,2014.3:53. [Google Scholar]

[7] Zhou Zhihua, LI Nan. Foundation and algorithm of Integrated Learning [M]. Electronic Industry Press: Beijing,2020.8:76. [Google Scholar]

[8] Zhuge Yue, calabash baby.Baima Machine learning algorithm engineer takes you to interview [M]. Posts and Telecommunications Press, Beijing,2018.8:276. [Google Scholar]