Construction and realization of simulation training environment based on AI-assisted simulation of real scenarios of dispatching and commanding operations

[1] Cheng, L., & Yu, T. (2019). Smart dispatching for energy internet with complex cyber‐physical‐social systems: A parallel dispatch perspective. International Journal of Energy Research, 43(8), 3080-3133. Search in Google Scholar

[2] Majumdar, S., Kirkley, S., & Srivastava, M. (2022, November). Voice Command AI Assistant for Public Safety. In 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (pp. 124-131). IEEE. Search in Google Scholar

[3] Dong, W., Yang, Q., Li, W., & Zomaya, A. Y. (2021). Machine-learning-based real-time economic dispatch in islanding microgrids in a cloud-edge computing environment. IEEE Internet of Things Journal, 8(17), 13703-13711. Search in Google Scholar

[4] Tang, H., Lv, K., Bak-Jensen, B., Pillai, J. R., & Wang, Z. (2022). Deep neural network-based hierarchical learning method for dispatch control of multi-regional power grid. Neural Computing and Applications, 34(7), 5063-5079. Search in Google Scholar

[5] Liu, Y., Wu, F., Lyu, C., Li, S., Ye, J., & Qu, X. (2022). Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform. Transportation Research Part E: Logistics and Transportation Review, 161, 102694. Search in Google Scholar

[6] Bezrucav, S. O., & Corves, B. (2020, October). Improved AI planning for cooperating teams of humans and robots. In Proceedings of the Planning and Robotics (PlanRob) Workshop—ICAPS. Search in Google Scholar

[7] Wang, T., Cai, X., Zheng, C., & Jiang, X. (2022, March). Research and Implementation of Application Scenarios for Dispatching Voice Interaction Based on Artificial Intelligence. In The International Conference on Cyber Security Intelligence and Analytics (pp. 88-96). Cham: Springer International Publishing. Search in Google Scholar

[8] Xu, W., Zhao, C., Dai, X., Yuan, Z., Zhang, T., Wang, T., ... & Lv, Y. (2023). Parallel dispatching: An ACP-based high-speed railway intelligent dispatching system.IEEE Transactions on Intelligent Vehicles. Search in Google Scholar

[9] Xinlei, C. A. I., Rongfu, Q. I. U., Yanli, C. U. I., & Xinglang, X. I. E. (2020, October). Power grid auxiliary control system based on big data application and artificial intelligence decision. In 2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE) (pp. 154-157). IEEE. Search in Google Scholar

[10] Fan, S., Guo, J., Ma, S., Li, L., Wang, G., Xu, H., ... & Zhao, Z. (2023). Framework and key technologies of human-machine hybrid-augmented intelligence system for large-scale power grid dispatching and control.CSEE Journal of Power and Energy Systems. Search in Google Scholar

[11] Li, J., Yu, T., Zhu, H., Li, F., Lin, D., & Li, Z. (2020). Multi-agent deep reinforcement learning for sectional AGC dispatch. IEEE Access, 8, 158067-158081. Search in Google Scholar

[12] Huang, X., Yang, J., Jin, W., Fang, Y., & Cui, L. (2021, August). Design and Application of a Practical Decision-Making and Commanding Platform for Emergency Rescue. In 2021 IEEE 12th International Conference on Software Engineering and Service Science (ICSESS) (pp. 105-108). IEEE. Search in Google Scholar

[13] Chongyang Liu,Yalin Ding,Hongwen Zhang,Jihong Xiu & Haipeng Kuang. (2024). Improving Target Geolocation Accuracy with Multi-View Aerial Images in Long-Range Oblique Photography. Drones(5), 177-. Search in Google Scholar

[14] Xinyu Liu,Suhui Yang,Yanze Gao,Jing Li,Chaofeng Li,Zhen Xu & Chaoyang Fan. (2024). Reduction of lidar ranging error in turbulent water based on WT-ICA method. Optics Communications130747-130747. Search in Google Scholar

[15] Dan Qu,Huafei Chen,Hongyi Li & Hualin Xiao. (2024). Extended Belief Rule Base Inference Model Based on KD Tree. IAENG International Journal of Computer Science(6). Search in Google Scholar

[16] Haoyuan Bai,Tao Shen,Liang Huo,Xiaoyu Wang & Xinyu Liu. (2023). Improved Edge Folding Algorithm for 3D Building Models Taking into Account the Visual Features. Buildings(11). Search in Google Scholar

[17] Xiaoqian Yang,Yilong Liang,Fei Li & Xinmao Qin. (2024). Effect of modified gradient fields on the high-cycle fatigue crack initiation mechanism of Ti6Al4V alloy. International Journal of Fatigue108430-. Search in Google Scholar