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Career

· Research Scientist, Google2024–
· Course Developer for Stat 140, UC Berkeley Statistics Department2016–
· Research Scientist, UC Berkeley Robot Learning Lab

Publications (36)

A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization
IEEE Transactions on Smart Grid · 2018
215
cited
Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods
IEEE Transactions on Smart Grid · 2014
163
cited
Evolutionary Deep Learning-Based Energy Consumption Prediction for Buildings
IEEE Access · 2019
95
cited
Spatial-Temporal Synchrophasor Data Characterization and Analytics in Smart Grid Fault Detection, Identification, and Impact Causal Analysis
IEEE Transactions on Smart Grid · 2016
62
cited
Accurate forecasting of building energy consumption via a novel ensembled deep learning method considering the cyclic feature
Energy · 2020
57
cited
Synchrophasor-Based Auxiliary Controller to Enhance the Voltage Stability of a Distribution System With High Renewable Energy Penetration
IEEE Transactions on Smart Grid · 2015
51
cited
Optimal Power Scheduling for a Medium Voltage AC/DC Hybrid Distribution Network
2018
30
cited
Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch
IEEE Intelligent Systems · 2017
28
cited
Parallel dispatch: a new paradigm of electrical power system dispatch
IEEE/CAA Journal of Automatica Sinica · 2018
27
cited
Multi-Timescale Three-Phase Unbalanced Distribution System Operation With Variable Renewable Generations
IEEE Transactions on Smart Grid · 2019
23
cited
Fault localization in Smart Grid using wavelet analysis and unsupervised learning
Asilomar Conference on Signals, Systems and Computers · 2012
22
cited
Knowledge discovery for smart grid operation, control, and situation awareness — a big data visualization platform
North American Power Symposium · 2016
22
cited
Reinforcement Learning for Building Energy Optimization Through Controlling of Central HVAC System
IEEE Open Access Journal of Power and Energy · 2020
21
cited
Accelerating Exploration with Unlabeled Prior Data
Neural Information Processing Systems · 2023
18
cited
Deep Learning Application: Load Forecasting in Big Data of Smart Grids
Deep Learning: Algorithms and Applications · 2019
18
cited
Big Data-Based Approach to Detect, Locate, and Enhance the Stability of an Unplanned Microgrid Islanding
2017
17
cited
Locational marginal pricing in the campus power system at the power distribution level
IEEE Power & Energy Society General Meeting · 2016
16
cited
Synchrophasor based auxiliary controller to enhance power system transient voltage stability in a high penetration renewable energy scenario
2014 IEEE Symposium on Power Electronics and Machines for Wind and Water Applications · 2014
16
cited
Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19
Applied Energy · 2022
15
cited
Spatial-temporal characterization of synchrophasor measurement systems — A big data approach for smart grid system situational awareness
Asilomar Conference on Signals, Systems and Computers · 2014
15
cited
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Jason Zhang | Researcher Profile | Sotabase | Sotabase