A Novel Real-Time Energy Management Strategy for Gird-Friendly Microgrid: Harnessing Internal Fluctuation Internally. - Cunzhi Zhao; Xingpeng Li (CoRR, 2020)

A Novel Real-Time Energy Management Strategy for Grid-Supporting Microgrid: Enabling Flexible Trading Power. - Cunzhi Zhao; Xingpeng Li (CoRR, 2021)

Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads. - Praveen Dhanasekar; Cunzhi Zhao; Xingpeng Li (ISGT, 2022)

Microgrid Day-Ahead Scheduling Considering Neural Network based Battery Degradation Model. - Cunzhi Zhao; Xingpeng Li (CoRR, 2022)

An Alternative Method for Solving Security-Constrained Unit Commitment with Neural Network Based Battery Degradation Model. - Cunzhi Zhao; Xingpeng Li (CoRR, 2022)

A 100% Renewable Energy System: Enabling Zero CO2 Emission Offshore Platforms. - Cunzhi Zhao; Xingpeng Li (CoRR, 2022)

Quality Analysis of Battery Degradation Models with Real Battery Aging Experiment Data. - Cunzhi Zhao; Xingpeng Li; Yan Yao (CoRR, 2022)

Resilient Operational Planning for Microgrids Against Extreme Events. - Cunzhi Zhao; Jesús Silva-Rodríguez; Xingpeng Li (HICSS, 2023)

Microgrid Optimal Energy Scheduling with Risk Analysis. - Ali Siddique; Cunzhi Zhao; Xingpeng Li (CoRR, 2023)

Computational Enhancement for Day-Ahead Energy Scheduling with Sparse Neural Network-based Battery Degradation Model. - Cunzhi Zhao; Xingpeng Li (CoRR, 2023)

Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling. - Cunzhi Zhao; Xingpeng Li (CoRR, 2023)

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting. - Elias Raffoul; Mingjian Tuo; Cunzhi Zhao; Tianxia Zhao; Meng Ling; Xingpeng Li (CoRR, 2024)

Hierarchical Deep Learning Model for Degradation Prediction Per Look-Ahead Scheduled Battery Usage Profile. - Cunzhi Zhao; Xingpeng Li (IEEE Trans. Smart Grid, 2025)