Using boosting for forecasting electric energy consumption during a recession: a case study for the Brazilian State Rio Grande do Sul-Reference-Cited by-同舟云学术

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Using boosting for forecasting electric energy consumption during a recession: a case study for the Brazilian State Rio Grande do Sul

Published:2021-03-25 Issue:2 Volume:14 Page:111-128
ISSN:1864-4031
Container-title:Letters in Spatial and Resource Sciences
language:en
Short-container-title:Lett Spat Resour Sci

Author:

Lindenmeyer Guilherme^ORCID,Skorin Pedro Pablo^ORCID,Torrent Hudson da Silva^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Economics and Econometrics,Urban Studies,Geography, Planning and Development,Demography

Link

https://link.springer.com/content/pdf/10.1007/s12076-021-00268-3.pdf

Reference37 articles.

1. Abdel-Aal, R.: Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks. Comput. Ind. Eng. 54(4), 903–917 (2008)

2. Bai, J., Ng, S.: Boosting diffusion indices. J. Appl. Economet. 24(4), 607–629 (2009)

3. Bessa, R.J., Trindade, A., Silva, C.S., Miranda, V.: Probabilistic solar power forecasting in smart grids using distributed information. Int. J. Electr. Power Energy Syst. 72, 16–23 (2015)

4. Box, G., Jenkins, G.M.: Time Series Analysis: Forecasting and Control. Holden-Day, Toronto (1976)

5. Bühlmann, P., et al.: Boosting for high-dimensional linear models. Ann. Stat. 34(2), 559–583 (2006)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Boosting and Predictability of Macroeconomic Variables: Evidence from Brazil;Computational Economics;2023-08-14

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