Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method-Reference-Cited by-同舟云学术

Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method

Published:2022-07-18 Issue:6 Volume:53 Page:7254-7277
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Krichene Emna^ORCID,Ouarda Wael,Chabchoub Habib,Abraham Ajith,Qahtani Abdulrahman M.,Almutiry Omar,Dhahri Habib,Alimi Adel M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03890-w.pdf

Reference49 articles.

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4. Khan G, Khattak A, Zafari F, Mahmud S (2013) Electrical load forecasting using fast learning recurrent neural networks. The 2013 International Joint Conference On Neural Networks (IJCNN). pp 1–6 (8). https://doi.org/10.1109/IJCNN.2013.6706998

5. Cerjan M, Krzelj I, Vidak M, Delimar M (2013) A literature review with statistical analysis of electricity price forecasting methods. IEEE EuroCon 2013 7:756–763

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