Construction Method of the Distribution Transform Load Feature Database Based on Deep Convolutional Autoencoder

Construction Method of the Distribution Transform Load Feature Database Based on Deep Convolutional Autoencoder

With the large-scale access of distributed resources to distribution network operation, there are more and more prosumers on the user side. It forms the basis of load prediction and demand-side management to identify different power consumption patterns and establish a typical load characteristic da...

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Bibliographic Details
Main Authors: Bin Xu, Yuan Gao, Jun Liu, Yang Lu, Yifeng Yang, Feng Xu, Xiaoqing Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Energy Research
Subjects:
prosumer
convolutional autoencoder
load classification
dimensionality reduction clustering
neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.883528/full

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https://www.frontiersin.org/articles/10.3389/fenrg.2022.883528/full

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