Zobrazeno 1 - 10
of 9 095
pro vyhledávání: '"Electric load forecasting"'
Autor:
Zhang, Zhirong1 (AUTHOR) zhangzr090427@163.com, Zhang, Qiqi2 (AUTHOR), Liang, Haitao3 (AUTHOR), Gorbani, Bizhan4,5 (AUTHOR) bizhangorbani@gmail.com
Publikováno v:
Scientific Reports. 9/27/2024, Vol. 14 Issue 1, p1-20. 20p.
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract This research work focuses on addressing the challenges of electric load forecasting through the combination of Support Vector Regression and Long Short-Term Memory (SVR/LSTM) methodology. The model has been modified by a flexible version of
Externí odkaz:
https://doaj.org/article/af41bff86a754c3ea63a9e657b8d8b9e
Autor:
Xiang, Xinjian1 (AUTHOR) xiang_xinjian@zust.edu.cn, Yuan, Tianshun1 (AUTHOR), Cao, Guangke2 (AUTHOR), Zheng, Yongping1 (AUTHOR)
Publikováno v:
Energies (19961073). Apr2024, Vol. 17 Issue 8, p1815. 21p.
Autor:
Lee, Geun-Cheol1 (AUTHOR) gclee@konkuk.ac.kr
Publikováno v:
Energies (19961073). Dec2024, Vol. 17 Issue 23, p5860. 16p.
Publikováno v:
In Heliyon 30 January 2024 10(2)
Electric load forecasting is an indispensable component of electric power system planning and management. Inaccurate load forecasting may lead to the threat of outages or a waste of energy. Accurate electric load forecasting is challenging when there
Externí odkaz:
http://arxiv.org/abs/2310.15662
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 20, Pp 3247-3263 (2024)
Abstract Accurate electric load forecasting at various time periods is considered a necessary challenge for electricity consumers and generators to maximize their economic efficiency in energy markets. Hence, the accuracy and effectiveness of existin
Externí odkaz:
https://doaj.org/article/81cdf6181f544c44a7f5c3f868dceb51
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