Short-Term Telephone-Traffic Prediction of Power Grid Customer Service Based on Adaboost-CNN

Short-Term Telephone-Traffic Prediction of Power Grid Customer Service Based on Adaboost-CNN

The introduction of modern power supply service system has raised higher requirements for the service quality of electricity customer service. Accurate power supply service traffic prediction not only improves the quality of power customer service, but also effectively reduces the cost of customer s...

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Bibliographic Details
Main Author: QIN Hao, SU Liwei, WU Guangbin, JIANG Chongying, XU Zhipeng, KANG Feng, TAN Huochao, ZHANG Yongjun
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2025-02-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
modern power supply service system
traffic prediction
adaboost
convolutional neural network (cnn)
isolated forest algorithm
value-added services
Online Access:https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-2-266.shtml
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