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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Vydané v:	Applied sciences Ročník 13; číslo 11; s. 6602
Hlavní autori:	Huang, Zhaoxiang, Wang, Hangjun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 29.05.2023
Predmet:	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
On-line prístup:	Získať plný text
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