Dynamic Prediction Algorithm for Low-Voltage Distribution Network Power Loss in a Smart City Based on Classification Decision Tree and Marketing Data-Reference-Cited by-同舟云学术

Dynamic Prediction Algorithm for Low-Voltage Distribution Network Power Loss in a Smart City Based on Classification Decision Tree and Marketing Data

Published:2022-08-04 Issue:3 Volume:51 Page:20220096
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Liu Changfa¹,Fu Liheng²,Li Hongsheng²,Chen Bo²

Affiliation:

1. Marketing Service Center, State Grid Hebei Electric Power Co., Ltd, No. 32 of Fuqiang St., Shijiazhuang, 050000, China (Corresponding author), e-mail: liucf95598@163.com, https://orcid.org/0000-0001-8466-0652

2. Marketing Service Center, State Grid Hebei Electric Power Co., Ltd, No. 32 of Fuqiang St., Shijiazhuang, 050000, China

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference20 articles.

1. Big Data Analytics in China’s Electric Power Industry: Modern Information, Communication Technologies, and Millions of Smart Meters;Kang;IEEE Power and Energy Magazine,2018

2. Optimal Renewable Resources Placement in Distribution Networks by Combined Power Loss Index and Whale Optimization Algorithms;Dinakara Prasad Reddy;Journal of Electrical Systems and Information Technology,2018

3. Application of a Hybrid Evolutionary Algorithm on Reactive Power Compensation Problem of Distribution Network;Shefaei;Computers and Electrical Engineering,2018

4. Decoupling Analysis of Additional Loss of Key Equipment in Lowvoltage Distribution Network under Compound Power Quality Disturbances;Yin;Electrical Measurement and Instrumentation,2018

5. Short-Term Load Forecasting of Distribution Network Based on Variational Modal Decomposition-BA-LSSVM Algorithm;Zhao;Journal of Agricultural Engineering,2019