Łukasz Jasiński, Jacek Rezmer, Zbigniew Leonowicz, Luigi Martirano, Michał Jasiński, 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2023, 1
Ehtisham Asghar, Martin Hill, Conor Lynch, 2023 IEEE PES GTD International Conference and Exposition (GTD), 2023, 386
Yuhao Wang, Peipei Meng, Xinzhi Ding, Lin Hu, Xixiu Wu, Hui Hou, 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2023, 1807
Suwei Zhai, Wenyun Li, Zhenyu Qiu, Xinyi Zhang, Shixi Hou, “An Improved Deep Reinforcement Learning Method for Dispatch Optimization Strategy of Modern Power Systems”, Entropy, 25, no. 3, 2023, 546
Sebastián López Flórez, Guillermo Herniández, Alfonso Gonziález-Briones, Fernando de la Prieta, 741, Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference, 2023, 438
Moslem Uddin, Huadong Mo, Daoyi Dong, Sondoss Elsawah, Jianguo Zhu, Josep M. Guerrero, “Microgrids: A review, outstanding issues and future trends”, Energy Strategy Reviews, 49, 2023, 101127
Fanrui Chang, Yong Li, Yanjian Peng, Yijia Cao, Haifeng Yu, Shaoyang Wang, Xiren Zhang, Longfu Luo, “A dual-layer cooperative control strategy of battery energy storage units for smoothing wind power fluctuations”, Journal of Energy Storage, 70, 2023, 107789
Huanrui Liang, Jiahao Su, Leying Deng, 2023 3rd International Conference on Energy Engineering and Power Systems (EEPS), 2023, 395
G.M.C. Leite, S. Jiménez-Fernández, S. Salcedo-Sanz, C.G. Marcelino, C.E. Pedreira, “Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method”, Knowledge-Based Systems, 280, 2023, 111027
Teng Zhang, Fangyu Peng, Rong Yan, Xiaowei Tang, Runpeng Deng, Jiangmiao Yuan, “Quantification of uncertainty in robot pose errors and calibration of reliable compensation values”, Robotics and Computer-Integrated Manufacturing, 89, 2024, 102765