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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Unveiling bidding uncertainties in electricity markets: A Bayesian deep learning framework based on accurate variational inference
Published in Energy, 2023
This paper uses a modified Bayesian Neural Network for the probalistic forecasting of bidding behaviors of generation companies and analyse the uncertainty within. It also provide a sensitivity analysis of the bidding behavior influencing factors.
Recommended citation: Shengyang Wu, Zhaohao Ding, Jingyu Wang and Dongyuan Shi, Unveiling bidding uncertainties in electricity markets: A Bayesian deep learning framework based on accurate variational inference, Energy, Vol.276, 2023, 127286.
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Interpretable Detection and Localization of False Data Injection Attacks Based on Causal Learning
Published in 2023 IEEE Power & Energy Society General Meeting (PESGM), 2023
This paper propose a causal learning structure to quantify the casuality between measurements and locate the measurements under cyber attacks based on the causality anomalies.
Recommended citation: Shengyang Wu, Dongping Hu, Yi Gao, Dongyuan Shi and Jingyu Wang, "Interpretable Detection and Localization of False Data Injection Attacks Based on Causal Learning," 2023 IEEE Power & Energy Society General Meeting (PESGM), Orlando, FL, USA, 2023, pp. 1-5
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Training A Dynamic Neural Network to Detect False Data Injection Attacks Under Multiple Unforeseen Operating Conditions
Published in IEEE Transactions on Smart Grid, 2024
This paper is aimed at addressing the concept drift issue in power system measurements data while detecting FDIAs. It proposes an online self-adptive mechanism to accmodate the traditional attack detection model to unforeseen system operating points.
Recommended citation: Dongping Hu, Shengyang Wu, Jingyu Wang and Dongyuan Shi, "Training a Dynamic Neural Network to Detect False Data Injection Attacks Under Multiple Unforeseen Operating Conditions," IEEE Transactions on Smart Grid, vol. 15, no. 3, pp. 3248-3261.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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