Wenhu Tang

Orcid: 0000-0003-1823-2355

According to our database1, Wenhu Tang authored at least 26 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction.
CoRR, 2024

2021
Resilient Economic Control for Distributed Microgrids Under False Data Injection Attacks.
IEEE Trans. Smart Grid, 2021

Signal-to-Signal Translation for Fault Diagnosis of Bearings and Gears With Few Fault Samples.
IEEE Trans. Instrum. Meas., 2021

Detection and Location of Safety Protective Wear in Power Substation Operation Using Wear-Enhanced YOLOv3 Algorithm.
IEEE Access, 2021

2020
Event-Triggered Updating Method in Centralized and Distributed Secondary Controls for Islanded Microgrid Restoration.
IEEE Trans. Smart Grid, 2020

Improved Energy Balance Control for Boost Converters Without Estimating Circuit Energy Losses.
IEEE Access, 2020

Electrical Equipment Identification Method With Synthetic Data Using Edge-Oriented Generative Adversarial Network.
IEEE Access, 2020

Intelligent Classification and Automatic Annotation of Violations based on Neural Network Language Model.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Detection of Safety Helmet Wearing Based on Improved Faster R-CNN.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Impact Factor Identification for Switching Overvoltage in an Offshore Wind Farm by Analyzing Multiple Ignition Transients.
IEEE Access, 2019

Deep Learning for Daily Peak Load Forecasting-A Novel Gated Recurrent Neural Network Combining Dynamic Time Warping.
IEEE Access, 2019

2018
Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather.
IEEE Access, 2018

2017
Energy balance analysis and control for boost converters.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Switching Control of Buck Converter Based on Energy Conservation Principle.
IEEE Trans. Control. Syst. Technol., 2016

2015
Voltage sensorless predictive direct power control for renewable energy integration under grid fault conditions.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

Power transformer fault classification by combining genetic reduction with optimized multilayer support vector machine.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015

2014
Improved document ranking in ontology-based document search engine using evidential reasoning.
IET Softw., 2014

2013
Feature selection in power transformer fault diagnosis based on dissolved gas analysis.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

2012
Implementation of Gaia methodology for multi-agent based transformer condition monitoring.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

2009
Association Rule Mining-Based Dissolved Gas Analysis for Fault Diagnosis of Power Transformers.
IEEE Trans. Syst. Man Cybern. Part C, 2009

Power Transformer Fault Classification Based on Dissolved Gas Analysis by Implementing Bootstrap and Genetic Programming.
IEEE Trans. Syst. Man Cybern. Part C, 2009

2007
Simplified Transformer Winding Modelling and Parameter Identification Using Particle Swarm Optimiser with Passive Congregation.
Proceedings of the Applications of Evolutinary Computing, 2007

Bacterial Foraging Algorithm with Varying Population for Optimal Power Flow.
Proceedings of the Applications of Evolutinary Computing, 2007

Harmonic Estimation Using a Global Search Optimiser.
Proceedings of the Applications of Evolutinary Computing, 2007

2005
A particle swarm optimiser with passive congregation approach to thermal modelling for power transformers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2000
Development of Power Transformer Thermal Models for Oil Temperature Prediction.
Proceedings of the Real-World Applications of Evolutionary Computing, 2000


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