相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks
Yashar Deldjoo et al.
ACM COMPUTING SURVEYS (2021)
Enhance High Impedance Fault Detection and Location Accuracy via μ-PMUs
Qiushi Cui et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
Multi-Task Logistic Low-Ranked Dirty Model for Fault Detection in Power Distribution System
Mostafa Gilanifar et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation
Mohammad Gholami et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids
Nikolaos Sapountzoglou et al.
APPLIED ENERGY (2020)
Prioritized multi-criteria federated learning
Vito Walter Anelli et al.
INTELLIGENZA ARTIFICIALE (2020)
Detecting false data attacks using machine learning techniques in smart grid: A survey
Lei Cui et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2020)
Hierarchical Location Identification of Destabilizing Faults and Attacks in Power Systems: A Frequency-Domain Approach
Sajjad Amini et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Estimating Zero-Sequence Line Impedance and Fault Resistance Using Relay Data
Swagata Das et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Intelligent Fault Detection Scheme for Microgrids With Wavelet-Based Deep Neural Networks
James J. Q. Yu et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Data Mining-Based Method to Reduce Multiple Estimation for Fault Location in Radial Distribution Systems
Evandro Agostinho Reche et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
A Two-Stage Fault Location Identification Method in Multiarea Power Grids Using Heterogeneous Types of Data
Iman Kiaei et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
High-impedance fault detection in medium-voltage distribution network using computational intelligence-based classifiers
Veerapandiyan Veerasamy et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Fault Classification for Transmission Lines Based on Group Sparse Representation
Shenxing Shi et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Real-Time Faulted Line Localization and PMU Placement in Power Systems Through Convolutional Neural Networks
Wenting Li et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2019)
High Impedance Fault Detection Method Based on Variational Mode Decomposition and Teager-Kaiser Energy Operators for Distribution Network
Xiaowei Wang et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Autonomous Self-Healing in Smart Distribution Grids Using agent Systems
Elham Shirazi et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
A Robust Fault Detection and Discrimination Technique for Transmission Lines
Shaik Affijulla et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
A New Harmony Search Approach for Optimal Wavelets Applied to Fault Classification
Tamer S. Abdelgayed et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification
Jongpil Lee et al.
APPLIED SCIENCES-BASEL (2018)
S-Transform Based FFNN Approach for Distribution Grids Fault Detection and Classification
Md Shafiullah et al.
IEEE ACCESS (2018)
A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks
Fernando E. Postigo Marcos et al.
ENERGIES (2017)
Hybrid Passive-Overcurrent Relay for Detection of Faults in Low-Voltage DC Grids
Khaled A. Saleh et al.
IEEE TRANSACTIONS ON SMART GRID (2017)
An evaluation of Convolutional Neural Networks for music classification using spectrograms
Yandre M. G. Costa et al.
APPLIED SOFT COMPUTING (2017)