88 citations · 175 across the 26 of their papers we have counts for
26 papers
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation
Xinyi Wang, Meijen Lee, Qing Zhao +1
Probabilistic time series forecasting predicts the conditional probability distributions of the time series at a future time given past realizations. Such techniques are critical i…
On the Optimality of Procrastination Policy for EV charging under Net Energy Metering
Minjae Jeon, Lang Tong, Qing Zhao
We consider the problem of behind-the-meter EV charging by a prosumer, co-optimized with rooftop solar, electric battery, and flexible consumptions such as water heaters and HVAC.…
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach
Xinyi Wang, Mei-jen Lee, Qing Zhao +1
We consider novelty detection in time series with unknown and nonparametric probability structures. A deep learning approach is proposed to causally extract an innovations sequence…
Co-Optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering
Ahmed S. Alahmed, Lang Tong, Qing Zhao
The co-optimization of behind-the-meter distributed energy resources is considered for prosumers under the net energy metering tariff. The distributed energy resources considered i…
As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing
Sudeep Salgia, Qing Zhao, Lang Tong
We consider the problem of uniformity testing of Lipschitz continuous distributions with bounded support. The alternative hypothesis is a composite set of Lipschitz continuous dist…
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
Sudeep Salgia, Qing Zhao, Sattar Vakili
A framework based on iterative coordinate minimization (CM) is developed for stochastic convex optimization. Given that exact coordinate minimization is impossible due to the unkno…