Early warning method for power supply service quality based on three-way decision theory and LSTM neural network

Early warning method for power supply service quality based on three-way decision theory and LSTM neural network

An efficient early-warning method for power supply service quality(PSSQ) is of great significance to optimize the customer experience of power service and ensure the security of power systems. Based on the power service data from the customer side, this paper proposes a early-warning method for PSSQ...

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Bibliographic Details
Main Authors: Zhian Lin, Yunchao Shi, Bo Chen, Shengyuan Liu, Yuejun Ge, Jien Ma, Li Yang, Zhenzhi Lin
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Energy Reports
Subjects:
Power supply service quality(PSSQ)
Three-way decision theory
Long–short term memory (LSTM)
Average decision cost
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722004917

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