Physics-Aware Validation of State Estimations for electrical Power Grids based on Artificial Neural Networks
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These are test data sets created with openDSS Simulations for the CIGRE LV MV Grid with the Method, which we presented here: 10.3390/en17215452 X -> Target Values from the simulation Y -> Predictions from a Neural Network Estimator
本数据集为采用本文所述方法、基于openDSS仿真构建的国际大电网委员会(CIGRE)标准低压/中压电网测试数据集,相关研究成果已发表于: 10.3390/en17215452 X代表仿真所得的目标值 Y代表神经网络估计器的预测结果
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Zenodo创建时间:
2025-04-09



