Research on Adaptive Control and Optimal Scheduling Algorithm Under Mixed Energy Architecture of Data Center

An approximate dynamic programming optimization scheduling strategy combining independent microgrid day-ahead scheduling system and adaptive weighted sum algorithm is proposed. The strategy aims to minimize energy consumption and maximize energy utilization efficiency of data centers through intelli...

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Veröffentlicht in:	International Conference on Information Systems and Computer Aided Education (Online) S. 1159 - 1164
Hauptverfasser:	Zhang, Wancai, Xia, Xuwei, Zhang, Nan, Yang, Wenqing, Mu, Jun, Wang, Tao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 27.09.2024
Schlagworte:	Accuracy adaptive control approximate dynamic programming Approximation algorithms Data centers Dynamic scheduling Heuristic algorithms In dependent micro-network Machine learning Optimal scheduling optimal scheduling algorithm optimized scheduling Power system stability Scheduling Stability analysis
ISSN:	2770-663X
Online-Zugang:	Volltext
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