Classification Method For User Electricity Consumption Behavior Based on Power Big Data
According to the insufficiency of existing methods of classification on the behavior of using electricity, this paper proposes a classification method for behavior of user using electricity based on deep convolutional neural networks(DCNN). The method which we proposed can classify the behavior of u...
Saved in:
| Main Authors: | Pengwei Guo, Shun Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/10/shsconf_misd2025_02003.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of Abnormal Electricity Consumption Behavior of Low-Voltage Users in New Power Systems Based on a Combined Method
by: Jiaolong Gou, et al.
Published: (2025-05-01) -
Modeling contextual big data for user behavior prediction
by: Shu WU, et al.
Published: (2016-11-01) -
Mobile user behavior analysis system and applications based on big data
by: Hongxun GU, et al.
Published: (2016-03-01) -
Research on abnormal power consumption detection method of power big data based on LightGBM model and LSTM model
by: YANG Zhidong, et al.
Published: (2025-01-01) -
Design of Mobile Internet Big Data User Behavior Analysis Engine Based on Cloud Computing
by: Caixia Tao, et al.
Published: (2013-03-01)