Di Cao

发表

A data-driven approach for designing STATCOM additional damping controller for wind farms

Zhe Chen, Di Cao, Weihao Hu, 2020 .

Bidding strategy for trading wind energy and purchasing reserve of wind power producer – A DRL based approach

T. Dragičević, F. Blaabjerg, Zhe Chen, 2020 .

Optimal operational strategy for an offgrid hybrid hydrogen/electricity refueling station powered by solar photovoltaics

Mark Z. Jacobson, Di Cao, Weihao Hu, 2020 .

Operational Optimization of Wind Farm Integrated Battery/Electrolyzer in Electricity Market Considering Fluctuation Penalty

Zhe Chen, Qi Huang, Weihao Hu, 2019, 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).

Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning

Zhe Chen, Junbo Zhao, Weihao Hu, 2022, Applied Energy.

Deep Reinforcement Learning Based Optimization Strategy for Hydro-Governor PID Parameters to Suppress ULFO

Qi Huang, Di Cao, Guozhou Zhang, 2020, 2020 5th International Conference on Power and Renewable Energy (ICPRE).

Projection algorithm-based nonlinear observation of internal states in fuel delivery systems with gas diffusion

Di Cao, Weihao Hu, Weirong Chen, 2021 .

Uncertainty analysis and robust control of fuel delivery systems considering nitrogen crossover phenomenon

Wei-rong Chen, Weihao Hu, Di Cao, 2020 .

Optimized sizing of a standalone PV-wind-hydropower station with pumped-storage installation hybrid energy system

Zhe Chen, Qi Huang, Weihao Hu, 2020 .

Impact analysis of COVID-19 pandemic on the future green power sector: A case study in the Netherlands

Wen Liu, Weihao Hu, Di Cao, 2022, Renewable Energy.

A novel deep reinforcement learning enabled agent for pumped storage hydro‐wind‐solar systems voltage control

Qixing Huang, Zhe Chen, Qi Huang, 2021, IET Renewable Power Generation.

Gaussian Process Kernel Transfer Enabled Method for Electric Machines Intelligent Faults Detection with Limited Samples

Frede Blaabjerg, Di Cao, Weihao Hu, 2021 .

Economic feasibility of a wind-battery system in the electricity market with the fluctuation penalty

Qi Huang, Di Cao, Weihao Hu, 2020 .

A Multiagent Deep Reinforcement Learning Based Approach for the Optimization of Transformer Life Using Coordinated Electric Vehicles

F. Blaabjerg, Weihao Hu, Di Cao, 2022, IEEE Transactions on Industrial Informatics.

Artificial intelligence based approach to improve the frequency control in hybrid power system

Zhe Chen, Guozhou Zhang, Weihao Hu, 2020 .

Soft actor-critic –based multi-objective optimized energy conversion and management strategy for integrated energy systems with renewable energy

F. Blaabjerg, Zhe Chen, Weihao Hu, 2021 .

Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

Bin Zhang, Junbo Zhao, Zhe Chen, 2020, Journal of Modern Power Systems and Clean Energy.

Degradation trajectories prognosis for PEM fuel cell systems based on Gaussian process regression

F. Blaabjerg, Wei-rong Chen, Zhe Chen, 2021, Energy.

Robust Deep Gaussian Process-Based Probabilistic Electrical Load Forecasting Against Anomalous Events

F. Blaabjerg, Zhe Chen, Junbo Zhao, 2021, IEEE Transactions on Industrial Informatics.

A deep reinforcement learning-based approach for the residential appliances scheduling

Weihao Hu, Di Cao, Qi Huang, 2022, Energy Reports.

Dynamic energy conversion and management strategy for an integrated electricity and natural gas system with renewable energy: Deep reinforcement learning approach

Qi Huang, Di Cao, Frede Blaabjerg, 2020 .

Deep reinforcement learning–based approach for optimizing energy conversion in integrated electrical and heating system with renewable energy

Di Cao, Weihao Hu, Frede Blaabjerg, 2019, Energy Conversion and Management.

A Multi-Agent Deep Reinforcement Learning Based Voltage Regulation Using Coordinated PV Inverters

Qi Huang, Di Cao, Frede Blaabjerg, 2020, IEEE Transactions on Power Systems.

Deep Reinforcement Learning-Based Approach for Proportional Resonance Power System Stabilizer to Prevent Ultra-Low-Frequency Oscillations

Di Cao, Guozhou Zhang, Weihao Hu, 2020, IEEE Transactions on Smart Grid.

Implementation of repowering optimization for an existing photovoltaic‐pumped hydro storage hybrid system: A case study in Sichuan, China

Di Cao, Weihao Hu, Zhe Chen, 2019, International Journal of Energy Research.

A Meta-Learning Method for Electric Machine Bearing Fault Diagnosis Under Varying Working Conditions With Limited Data

Weihao Hu, Di Cao, Jianjun Chen, 2023, IEEE Transactions on Industrial Informatics.

A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration

Frede Blaabjerg, Di Cao, Guozhou Zhang, 2021 .

Novel Data-Driven Approach Based on Capsule Network for Intelligent Multi-Fault Detection in Electric Motors

Frede Blaabjerg, Di Cao, Weihao Hu, 2020, IEEE Transactions on Energy Conversion.

Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach

Zhe Chen, Qi Huang, Di Cao, 2021 .

An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach

Di Cao, Weihao Hu, Frede Blaabjerg, 2019, Energies.

Attention Enabled Multi-Agent DRL for Decentralized Volt-VAR Control of Active Distribution System Using PV Inverters and SVCs

Di Cao, Weihao Hu, Junbo Zhao, 2021, IEEE Transactions on Sustainable Energy.

A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and freshwater

F. Blaabjerg, Guozhou Zhang, Weihao Hu, 2022, Energy Conversion and Management.

Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs

Frede Blaabjerg, Di Cao, Weihao Hu, 2021, IEEE Transactions on Smart Grid.

Designing a standalone wind-diesel-CAES hybrid energy system by using a scenario-based bi-level programming method

Di Cao, Weihao Hu, Qi Huang, 2020 .

Asynchronous Advantage Actor-Critic Based Approach for Economic Optimization in the Integrated Energy System with Energy Hub

Bin Zhang, Zhe Chen, Qi Huang, 2021, 2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES).

Efficiency optimization method and accurate power loss evaluation method of 48 V/12 V resonant DC–DC converter

Weihao Hu, Di Cao, Zhenyuan Zhang, 2023, Energy Reports.

Coordinated energy management strategy for multi-energy hub with thermo-electrochemical effect based power-to-ammonia: A multi-agent deep reinforcement learning enabled approach

Qixing Huang, Wen Liu, Guozhou Zhang, 2023, Renewable Energy.

Identification and classification for multiple cyber attacks in power grids based on the deep capsule CNN

Di Cao, Qi Huang, Jian Li, 2023, Engineering applications of artificial intelligence.

Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process

Junbo Zhao, Weihao Hu, Di Cao, 2023, IEEE Transactions on Smart Grid.

Electric Vehicle Charging Management Based on Deep Reinforcement Learning

Frede Blaabjerg, Tomislav Dragicevic, Di Cao, 2021, Journal of Modern Power Systems and Clean Energy.

Deep Reinforcement Learning Based Approach for Optimal Power Flow of Distribution Networks Embedded with Renewable Energy and Storage Devices

Frede Blaabjerg, Di Cao, Weihao Hu, 2021, Journal of Modern Power Systems and Clean Energy.

Scheduling of wind-battery hybrid system in the electricity market using distributionally robust optimization

Zhe Chen, Xiao Xu, Di Cao, 2020 .

Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems

Di Cao, Weihao Hu, Junbo Zhao, 2021, IEEE Transactions on Smart Grid.

Artificial Intelligence-Aided Minimum Reactive Power Control for the DAB Converter Based on Harmonic Analysis Method

Frede Blaabjerg, Yunwei Li, Di Cao, 2021, IEEE Transactions on Power Electronics.

Economical operation strategy of an integrated energy system with wind power and power to gas technology – a DRL‐based approach

Bin Zhang, F. Blaabjerg, Zhe Chen, 2020, IET Renewable Power Generation.

A Novel Deep Reinforcement Learning Enabled Multi-Band PSS for Multi-Mode Oscillation Control

Frede Blaabjerg, Di Cao, Guozhou Zhang, 2021, IEEE Transactions on Power Systems.

Physics-Informed Graphical Representation-Enabled Deep Reinforcement Learning for Robust Distribution System Voltage Control

Junbo Zhao, Weihao Hu, Di Cao, 2024, IEEE Transactions on Smart Grid.

A Novel Data-Driven Self-Tuning SVC Additional Fractional-Order Sliding Mode Controller for Transient Voltage Stability with Wind Generations

Qixing Huang, Junbo Zhao, Guozhou Zhang, 2023, IEEE Transactions on Power Systems.

Coordinated active and reactive power dynamic dispatch strategy for wind farms to minimize levelized production cost considering system uncertainty: A soft actor-critic approach

Qixing Huang, Guozhou Zhang, Weihao Hu, 2023, Renewable Energy.

A Multiagent Deep Reinforcement Learning-Enabled Dual-Branch Damping Controller for Multimode Oscillation

I. Kamwa, Junbo Zhao, Guozhou Zhang, 2023, IEEE Transactions on Control Systems Technology.

Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning pdf

Zhe Chen, Di Cao, Junbo Zhao, 2020, ArXiv.

Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning pdf

Zhe Chen, Di Cao, Junbo Zhao, 2020, ArXiv.

Coordinated volt/VAR control for photovoltaic inverters: A soft actor-critic enhanced droop control approach

Guozhou Zhang, Weihao Hu, Di Cao, 2023, International Journal of Electrical Power & Energy Systems.

Probabilistic Wind Power Forecasting for Newly-Built Wind Farm Based on Multi-Task Gaussian Process Method

Weihao Hu, Di Cao, Frede Blaabjerg, 2023, SSRN Electronic Journal.

Double Deep Q-learning Based Approach for Power Flow Optimization in Distribution Networks

Qi Huang, Di Cao, Weihao Hu, 2020, 2020 Asia Energy and Electrical Engineering Symposium (AEEES).

Physics-Informed Multi-Agent deep reinforcement learning enabled distributed voltage control for active distribution network using PV inverters

Weihao Hu, Di Cao, Bin Zhang, 2024, International Journal of Electrical Power & Energy Systems.

Novel Data-Driven decentralized coordination model for electric vehicle aggregator and energy hub entities in multi-energy system using an improved multi-agent DRL approach

Weihao Hu, Di Cao, Zhe Chen, 2023, Applied Energy.

AI-aided Power Electronic Converters Automatic Online Real-time Efficiency Optimization Method

Qixing Huang, Weihao Hu, Di Cao, 2023, Fundamental Research.

Deep Reinforcement Learning-Aided Efficiency Optimized Dual Active Bridge Converter for the Distributed Generation System

F. Blaabjerg, Zhe Chen, Weihao Hu, 2022, IEEE Transactions on Energy Conversion.

Bayesian averaging-enabled transfer learning method for probabilistic wind power forecasting of newly built wind farms

Weihao Hu, Di Cao, Jianjun Chen, 2024, Applied Energy.

Design and Application of Big Data Platform Architecture for Typical Scenarios of Power System

Di Cao, Weihao Hu, Yufei Teng, 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).