Yingchao Dong

According to our database, Yingchao Dong authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Collaborative planning of multi-park electricity hydrogen integrated energy systems based on refined categorized demand response: a bi-level stochastic optimization framework considering flexibility enhancement and uncertainty mitigation.

Peng Ren, Yingchao Dong, Hongli Zhang, Cong Wang, Xiaochao Fan

Reliab. Eng. Syst. Saf., 2026

Learning-Based State Transition Algorithm.

Yingchao Dong, Ge Lan, Xiaojun Zhou

Expert Syst. Appl., 2026

2024

Robust Coordinated Planning of Multi-Region Integrated Energy Systems With Categorized Demand Response.

Yingchao Dong, Zhengmao Li, Hongli Zhang, Cong Wang, Xiaojun Zhou

IEEE Trans. Smart Grid, November, 2024

Soft actor-critic DRL algorithm for interval optimal dispatch of integrated energy systems with uncertainty in demand response and renewable energy.

Yingchao Dong, Hongli Zhang, Cong Wang, Xiaojun Zhou

Eng. Appl. Artif. Intell., January, 2024

A novel multi-objective optimization framework for optimal integrated energy system planning with demand response under multiple uncertainties.

Yingchao Dong, Cong Wang, Hongli Zhang, Xiaojun Zhou

Inf. Sci., 2024

2023

Robust optimal scheduling for integrated energy systems based on multi-objective confidence gap decision theory.

Yingchao Dong, Hongli Zhang, Cong Wang, Xiaojun Zhou

Expert Syst. Appl., October, 2023

2022

An adaptive state transition algorithm with local enhancement for global optimization.

Yingchao Dong, Hongli Zhang, Cong Wang, Xiaojun Zhou

Appl. Soft Comput., 2022

2021

A novel state transition simulated annealing algorithm for the multiple traveling salesmen problem.

Yan Zhang, Xiaoxia Han, Yingchao Dong, Jun Xie, Gang Xie, Xinying Xu

J. Supercomput., 2021

Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm.

Yingchao Dong, Hongli Zhang, Cong Wang, Xiaojun Zhou

Neurocomputing, 2021

State-transition simulated annealing algorithm for constrained and unconstrained multi-objective optimization problems.

Xiaoxia Han, Yingchao Dong, Lin Yue, Quanxi Xu, Gang Xie, Xinying Xu

Appl. Intell., 2021

2020

Efficient hybrid algorithm based on moth search and fireworks algorithm for solving numerical and constrained engineering optimization problems.

Xiaoxia Han, Lin Yue, Yingchao Dong, Quanxi Xu, Gang Xie, Xinying Xu

J. Supercomput., 2020

An Improved Crow Search Algorithm Based on Spiral Search Mechanism for Solving Numerical and Engineering Optimization Problems.

Xiaoxia Han, Quanxi Xu, Lin Yue, Yingchao Dong, Gang Xie, Xinying Xu

IEEE Access, 2020

2019

State Transition Simulated Annealing Algorithm for Discrete-Continuous Optimization Problems.

Xiaoxia Han, Yingchao Dong, Lin Yue, Quanxi Xu

IEEE Access, 2019