Residential Electricity Behavior Classification Model Based on Sparse Denoising Autoencoder And K-Means

User electricity data contains the characteristics of residential users' electricity consumption behavior. In order to help power companies formulate demand response plans and time of use electricity prices, and better extract electricity consumption behavior characteristics, this paper propose...

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Vydané v:	2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC) s. 506 - 510
Hlavní autori:	Yao, Zhengnan, Wei, Feishen, Huang, Yifan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 29.12.2023
Predmet:	Autoencoder Dimensionality reduction Electricity Electricity consumption behavior classification Feature extraction Internet of Things Load clustering Noise reduction Stochastic processes Time factors
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