Novel Power Load Pattern Recognition Algorithm Based on Unbalanced Data Clustering-Reference-Cited by-同舟云学术

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Novel Power Load Pattern Recognition Algorithm Based on Unbalanced Data Clustering

Published:2023-11-24 Issue: Volume: Page:670-673
ISSN:
Container-title:2023 3rd International Conference on New Energy and Power Engineering (ICNEPE)
language:
Short-container-title:

Author:

Zhu Dongyuan¹,Sun Yifei²,Cui Jia³,Hu Zhen³,Huang Jingbo³,Zhang Jiahui³

Affiliation:

1. Shenyang Institute of Engineering,School of Electric Power,Shenyang,Liaoning,China,110136

2. State Grid Yingkou Electric Power Supply,Yingkou,Liaoning,China,115000

3. Shenyang University of Technology,School of Electrical Engineering,Shenyang,Liaoning,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428934/10429048/10429336.pdf?arnumber=10429336

Reference6 articles.

1. A hybrid deep meta-ensemble networks with application in electric utility industry load forecasting

2. A two-stage short-term load forecasting approach using temperature daily profiles estimation

3. Support Vector Clustering of Electrical Load Pattern Data

4. A CLUSTERING-BASED FUZZY WAVELET NEURAL NETWORK MODEL FOR SHORT-TERM LOAD FORECASTING

5. Shape-Based Approach to Household Electric Load Curve Clustering and Prediction

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