Designing Channel Attention Fully Convolutional Networks with Neural Architecture Search for Customer Socio-Demographic Information Identification Using Smart Meter Data

<b>Background:</b> Accurately identifying the socio-demographic information of customers is crucial for utilities. It enables them to efficiently deliver personalized energy services and manage distribution networks. In recent years, machine learning-based data-driven methods have gained...

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Bibliographic Details
Main Authors:	Zhirui Luo, Qingqing Li, Ruobin Qi, Jun Zheng
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Series:	AI
Subjects:	neural architecture search fully convolutional network attention Bayesian optimization socio-demographic information identification smart meter
Online Access:	https://www.mdpi.com/2673-2688/6/1/9
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Designing Channel Attention Fully Convolutional Networks with Neural Architecture Search for Customer Socio-Demographic Information Identification Using Smart Meter Data

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