Reinforcement Learning-Based Dynamic Scheduling Algorithm for User-Side Multi-Source Data in Digital Electrical Rooms

With the increasing complexity and dynamics of digital electrical rooms, effective management of diverse data sources faces significant challenges. In this study, a dynamic scheduling algorithm based on reinforcement learning for user-side multi-source data in digital powerhouses is proposed, aiming...

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Veröffentlicht in:	2024 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC) S. 758 - 762
Hauptverfasser:	Zhu, Wanting, Li, Jincan, Bi, Haipeng, Li, Pei, Deng, Dongdong, Qin, Zongtao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 14.08.2024
Schlagworte:	digital electrical room Dynamic scheduling dynamic scheduling algorithm Heuristic algorithms multi-source data Power system stability Real-time systems Reinforcement learning Resource management resource optimization Stability analysis Sustainable development System performance Thermal stability
Online-Zugang:	Volltext
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