A Method for Power Flow Estimation in Power Systems with Incomplete Data

Machine learning-based power flow estimation is a critical technique for modeling the operational state of power systems. However, traditional power flow estimation methods face limitations under conditions of low-quality measurements. The challenge of accurately performing power flow estimation wit...

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Veröffentlicht in:	Asia Conference on Power and Electrical Engineering (Online) S. 2268 - 2272
Hauptverfasser:	He, Xuzhong, Yin, Yushan, Wang, Yuhong, Zheng, Zongsheng, Zhou, Xu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 15.04.2025
Schlagworte:	Accuracy Autoencoders Convolutional autoen-coder Data models Estimation Feature extraction Incomplete Data Load flow Power flow estimation Power system reliability Power system stability Robustness Stability analysis
ISSN:	2996-2951
Online-Zugang:	Volltext
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