Nuclear Family Type Identification Based on Deep Forest Algorithm in Residential Power Consumption

As the fertility rate declines, it becomes increasingly necessary for governments to guide power companies in introducing preferential tariffs to encourage nuclear families to have children. However, traditional household statistics for residential households are time-consuming and insufficient for...

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Bibliographic Details
Published in:	Applied sciences Vol. 13; no. 11; p. 6602
Main Authors:	Huang, Zhaoxiang, Wang, Hangjun
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 29.05.2023
Subjects:	Accuracy Algorithms Artificial intelligence Computational linguistics Cost control Datasets deep forest Deep learning Electricity Energy consumption Energy management Energy use Family Fertility fertility rate Households Language processing lean management Load Machine learning Natural language interfaces Neural networks Nuclear family Public utilities residential electricity consumption Subsidies Tariffs Wavelet transforms China
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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