Enterprise power emission reduction technology based on the LSTM–SVM model

With the increasing emphasis on environmental protection in various regions, reducing electricity emissions for enterprises has become a popular development trend. The research aims to design a machine learning-based power data warning method to assist enterprises in reducing emissions and controlli...

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Bibliographic Details
Main Authors: Li Kun, Su Meng, Liu Qiang, Zhang Bin
Format: Article
Language:English
Published: De Gruyter 2025-08-01
Series:Nonlinear Engineering
Subjects:
Online Access:https://doi.org/10.1515/nleng-2025-0165
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