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Reconsidering the smart metering data collection frequency for distribution state estimation.

, , , and . SmartGridComm, page 517-522. IEEE, (2014)

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Inferring low voltage transformer state using only Smart Metering data., , and . ISGT Europe, page 1-5. IEEE, (2013)Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition., , , , , and . ISNN (2), volume 11555 of Lecture Notes in Computer Science, page 501-511. Springer, (2019)Rule Induction-Based Knowledge Discovery for Energy Efficiency., , , and . IEEE Access, (2015)Reconsidering the smart metering data collection frequency for distribution state estimation., , , and . SmartGridComm, page 517-522. IEEE, (2014)Research on a Tool Wear Monitoring Algorithm Based on Residual Dense Network., , , and . Symmetry, 11 (6): 809 (2019)The power of data: Data analytics for M2M and smart grid., , , , and . ISGT Europe, page 1-8. IEEE, (2012)Research on a Real-Time Monitoring Method for the Wear State of a Tool Based on a Convolutional Bidirectional LSTM Model., , , , and . Symmetry, 11 (10): 1233 (2019)Impact of Smart Metering Data Aggregation on Distribution System State Estimation., , , and . IEEE Trans. Industrial Informatics, 12 (4): 1426-1437 (2016)Learning discriminative feature via a generic auxiliary distribution for unsupervised domain adaptation., , , , and . Int. J. Mach. Learn. Cybern., 13 (1): 175-185 (2022)