Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-70336-3.pdf
Reference100 articles.
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3. Liu, Z., Zhao, Y., Wang, Q., Xing, H. & Sun, J. Modeling and assessment of carbon emissions in additive-subtractive integrated hybrid manufacturing based on energy and material analysis. Int. J. Precis. Eng. Manuf. Technol. 11, 799–813. https://doi.org/10.1007/s40684-023-00588-3 (2024).
4. Khelifi, R. et al. Short-term PV power forecasting using a hybrid TVF-EMD-ELM strategy. Int. Trans. Electr. Energy Syst. 2023, 1–14. https://doi.org/10.1155/2023/6413716 (2023).
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