Real-Time Event Classification in Power System With Renewables Using Kernel Density Estimation and Deep Neural Network
Author:
Funder
Ministry of Human Resource Development
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/8877888/08693972.pdf?arnumber=8693972
Cited by 40 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
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2. Power quality disturbances identification based on deep neural network model of time-frequency feature fusion;Electric Power Systems Research;2024-06
3. Learning from Power Signals: An Automated Approach to Electrical Disturbance Identification within a Power Transmission System;Sensors;2024-01-12
4. Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks;IEEE Open Journal of Industry Applications;2024
5. Autoencoder and Kernel Density Estimation-Based Anomaly Detection Method for Power Consumption among Distribution Network Customers;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15
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