Detection of Abnormal Line Loss Rate in Low-voltage Transformer District Based on VAE-Reference-Cited by-同舟云学术

Detection of Abnormal Line Loss Rate in Low-voltage Transformer District Based on VAE

Published:2021-12-23 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Sustainable Power and Energy Conference (iSPEC)
language:
Short-container-title:

Author:

Ma Zhoujun¹,Chen Wenjing²,Liu Chongchong²,Zhu Hong³,Wei Lei⁴

Affiliation:

1. Hohai University,State Grid Jiangsu Electric Power Co., Ltd. Nanjing power supply branch College of Energy and Electrical Engineering,Nanjing,Jiangsu Province,China

2. Hohai University,College of Energy and Electrical Engineering,Nanjing,Jiangsu Province,China

3. State Grid Jiangsu Electric Power Co., Ltd. Nanjing power supply branch,Janjing,Jiangsu Province,China

4. State Grid Jiangsu Electric Power Co., Ltd.,Nanjing,Jiangsu Province,China

Funder

State Grid Jiangsu Electric Power

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9735429/9735430/09735892.pdf?arnumber=9735892

Reference15 articles.

1. Research on photovoltaic power forecasting model based on hybrid neural network;cui;Power system protection and control,2021

2. Augmented Convolutional Network for Wind Power Prediction: A New Recurrent Architecture Design With Spatial-Temporal Image Inputs

3. Probabilistic Residential Load Forecasting Based on Micrometeorological Data and Customer Consumption Pattern

4. Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting

5. Auto-encoding variational bayes;kingma;International Conference on Learning Representations,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Line Loss Anomaly Perception Method Based on MIC-IF Algorithm for Photovoltaic Low-Voltage Transformer Area;IEEE Access;2024