Chenguang Wang

According to our database, Chenguang Wang authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improved Anomaly Detection and Localization Using Whitening-Enhanced Autoencoders.

Chenguang Wang, Simon H. Tindemans, Peter Palensky

IEEE Trans. Ind. Informatics, January, 2024

An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains.

Weijie Xia, Gao Peng, Chenguang Wang, Peter Palensky, Eric J. Pauwels, Pedro P. Vergara

CoRR, 2024

A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction.

Weijie Xia, Chenguang Wang, Peter Palensky, Pedro P. Vergara

CoRR, 2024

2023

Anomaly Detection and Synthetic Data Generation for Power Systems Using Autoencoder Neural Networks.

Chenguang Wang

PhD thesis, 2023

Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder.

Chenguang Wang, Ensieh Sharifnia, Simon H. Tindemans, Peter Palensky

CoRR, 2023

2022

Generating Contextual Load Profiles Using a Conditional Variational Autoencoder.

Chenguang Wang, Simon H. Tindemans, Peter Palensky

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

2021

Generating Multivariate Load States Using a Conditional Variational Autoencoder.

Chenguang Wang, Ensieh Sharifnia, Zhi Gao, Simon H. Tindemans, Peter Palensky

CoRR, 2021

2020

Detection of False Data Injection Attacks Using the Autoencoder Approach.

Chenguang Wang, Simon H. Tindemans, Kaikai Pan, Peter Palensky

CoRR, 2020

Training Strategies for Autoencoder-based Detection of False Data Injection Attacks.

Chenguang Wang, Kaikai Pan, Simon H. Tindemans, Peter Palensky

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020