
Innovations Autoencoder and its Application in RealTime Anomaly Detection
An innovations sequence of a time series is a sequence of independent an...
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State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
Timesynchronized state estimation for reconfigurable distribution netwo...
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BadData Sequence Detection for Power System State Estimation via ICAGAN
A deep learning approach to the detection of baddata sequences in power...
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Time Synchronized State Estimation for Incompletely Observed Distribution Systems Using Deep Learning Considering Realistic Measurement Noise
Timesynchronized state estimation is a challenge for distribution syste...
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Coordinated Transaction Scheduling in MultiArea Electricity Markets: Equilibrium and Learning
Tieline scheduling in multiarea power systems in the US largely procee...
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Universal Data Anomaly Detection via Inverse Generative Adversary Network
The problem of detecting data anomaly is considered. Under the null hypo...
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Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning
The problem of state estimation for unobservable distribution systems is...
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Algorithmic Bidding for Virtual Trading in Electricity Markets
We consider the problem of optimal bidding for virtual trading in twose...
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Probabilistic Forecasting and Simulation of Electricity Markets via Online Dictionary Learning
The problem of probabilistic forecasting and online simulation of realt...
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Lang Tong
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