Empowering Microgrid Energy Management with Artificial Intelligence and Model Predictive Control

Author:

Dankir S.,Puig V.,Lasri R.,Maatoui Y.,Chekenbah H.

Publisher

Elsevier BV

Reference22 articles.

1. Bordons, C., Garcia-Torres, F., Ridao, M.A. (2020). Model Predictive Control of MG. Springer International Publishing. Chandrasekaran, K., Kandasamy, P., Ramanathan, S. (2020). Deep learning and reinforcement learning approach on microgrid.

2. Casagrande,V., and Boem., F "A Novel Learning-based MPC with Embedded Profiles Prediction for Microgrid Energy Management," IFAC-PapersOnLine, 20

3. Del Real, A.J., Arce, A., Bordons, C. (2007). Hybrid model predictive control of a two-generator power plant integrating photovoltaic panels and fuel cells. In: IEEE Conference on Decision and Control, 5447-5452.§

4. Dimitrios, T et al., (2022). Energy Management in Microgrids Using Model Predictive Control Empowered with Artificial Intelligence.

5. Weighting factor design in model predictive control of power electronic converters: An artificial neural network approach;Dragicevic;IEEE Transactions on Industrial Electronics,2018

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