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Application of ensemble empirical mode decomposition with support vector regression and wavelet neural network in electric load forecasting

Guo‐Feng Fan et al.

Energy Sources, Part B: Economics, Planning, and Policy2025https://doi.org/10.1080/15567249.2025.2468687article
ABDC C
Weight
0.48

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5 citations

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https://doi.org/https://doi.org/10.1080/15567249.2025.2468687

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@article{guo‐feng2025,
  title        = {{Application of ensemble empirical mode decomposition with support vector regression and wavelet neural network in electric load forecasting}},
  author       = {Guo‐Feng Fan et al.},
  journal      = {Energy Sources, Part B: Economics, Planning, and Policy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/15567249.2025.2468687},
}

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Application of ensemble empirical mode decomposition with support vector regression and wavelet neural network in electric load forecasting

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Evidence weight

0.48

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.41 × 0.4 = 0.16
M · momentum0.63 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.