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

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:	support vector machine long short-term memory network load prediction enterprise emission reduction
Online Access:	https://doi.org/10.1515/nleng-2025-0165
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