Improved load demand prediction for cluster microgrids using modified temporal convolutional feed forward network
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11235-024-01187-6.pdf
Reference32 articles.
1. Saki, R., Kianmehr, E., Rokrok, E., Doostizadeh, M., Khezri, R., & Shafie-khah, M. (2022). Interactive multi-level planning for energy management in clustered microgrids considering flexible demands. International Journal of Electrical Power & Energy Systems, 138, 107978.
2. Mbungu, N. T., Madiba, T., Bansal, R. C., Bettayeb, M., Naidoo, R. M., Siti, M. W., & Adefarati, T. (2022). Economic optimal load management control of microgrid system using energy storage system. Journal of Energy Storage, 46, 103843.
3. Hafeez, G., Alimgeer, K. S., Wadud, Z., Khan, I., Usman, M., Qazi, A. B., & Khan, F. A. (2020). An innovative optimization strategy for efficient energy management with day-ahead demand response signal and energy consumption forecasting in smart grid using artificial neural network. IEEE Access, 8, 84415–84433.
4. Shahgholian, G. (2021). A brief review on microgrids: operation, applications, modeling, and control. International Transactions on Electrical Energy Systems, 31(6), e12885.
5. Ryu, Y., & Lee, H. W. (2020). A real-time framework for matching prosumers with minimum risk in the cluster of microgrids. IEEE Transactions on Smart Grid, 11(4), 2832–2844.
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