Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Chongyu Wang

Senior Research Associate

Illinois Institute of Technology

United States

Research Interests

Explore related searches

Articles (20)

Collaborators (3)

Zipeng Liang

The Hong Kong Polytechnic University

Fushuan Wen

Nikos Hatziargyriou

National Technical University of Athens

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Chongyu Wang

Research Interests

Explore related searches

Articles (20)

Collaborators (3)

Zipeng Liang

Fushuan Wen

Nikos Hatziargyriou

Make your next move.

Chongyu Wang

Research Interests

Explore related searches

Articles (20)

Wasserstein Metric‐Based Distributionally Robust Optimisation for Risk‐Aware Coordination of Virtual Power Plants in Power Distribution Systems With Uncertainties

Integrating Large Language Models and Reinforcement Learning for Efficient Home Energy Management

LLM-Enhanced Offline Meta-Reinforcement Learning for Multi-Task V2G Regulation: A Human-AI Collaborative Framework

Physical System-Constrained Transactive Bidding Strategy for Data Centers With Workload Flexibility in Electricity Markets

Exact Lower Bounds on DRL-based Charging Strategy: An Abstract Domain Formal Verification Framework

Jacobian-Free Krylov-Arnoldi Framework for Static Voltage Stability Estimation of Power Systems With 100% Renewable Energy

Quasi-Combinatorial Microgrid Energy Optimization Using Secure Affine-Based Blind Quantum Computing

Collaborative switch placement and operational measures to enhance distribution system flexibility considering uncertain operation costs

Resilient restoration of low-inertia networked microgrids with inverter-based energy resource domination

Frequency-Constrained Optimal Restoration Scheduling in Active Distribution Networks With Dynamic Boundaries for Networked Microgrids

Enabling High-Efficiency Economic Dispatch of Hybrid AC/DC Networked Microgrids: Steady-State Convex Bi-Directional Converter Models

Imposing Fine-Grained Synthetic Frequency Response Rate Constraints for IBR-Rich Distribution System Restoration

Integration flexibility of renewable distributed energy resources in active distribution networks: A two-module data-driven characterization method

Aerodynamic-Constrained Frequency Response Services Dominated by Distributed Wind Power Generation in Active Distribution Networks

Deep Semi-Supervised Learning Method for False Data Detection Against Forgery and Concealing of Faults in Cyber-Physical Power Systems

Dynamic Restoration of Active Distribution Networks by Coordinated Repair Crew Dispatch and Cold Load Pickup

Load Frequency Control Method for Cyber-Physical Power Systems with 100% Renewable Energy

Microgrid Formation and Real-Time Scheduling of Active Distribution Networks Considering Source-Load Stochasticity

Multimodal Unified Control Method Using the Lie Derivative and Lyapunov Theory for Enhancing the Dynamic Stability of Power Systems With 100% Renewable Energy

Neural Network Applications in Hybrid Data-Model Driven Dynamic Frequency Trajectory Prediction for Weak-Damping Power Systems

Collaborators (3)

Zipeng Liang

Fushuan Wen

Nikos Hatziargyriou

Make your next move.