Wenting Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Wenting Wang has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Aimin An
Lanzhou University of Technology
1 shared publication - Aimin An
College of Electrical and Information Engineering, LanZhou University of Technology, Lanzhou, People’s Republic of China
1 shared publication Chenglong Liu
Gansu Electric Power Corporation, Lanzhou, China
1 shared publication- Chun Liu
Gansu Electric Power Corporation of State Grid, Lanzhou, China
1 shared publication Hailong Zhang
Gansu Electric Power Corporation, Lanzhou, China
1 shared publication- Qi Wang
School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China
1 shared publication
Latest Publications
- Open Access
- 26 September 2025
- Published by Springer Nature in Journal of Inequalities and Applications
- Vol. 2025 (1) , 1-14
Maps which preserve equality of phase-distance
- 26 September 2025
- Published by Springer Nature in Journal of Inequalities and Applications
- Vol. 2025 (1) , 1-14
Open AccessMaps which preserve equality of phase-distance
- 2 August 2024
- Published by Springer Nature in Journal of Electrical Engineering & Technology
- Vol. 20 (1) , 47-59
An Integrated Algorithm for Short Term Charging Load Prediction of Electric Vehicles Based on a More Complete Feature Set
- 2 August 2024
- Published by Springer Nature in Journal of Electrical Engineering & Technology
- Vol. 20 (1) , 47-59
An Integrated Algorithm for Short Term Charging Load Prediction of Electric Vehicles Based on a More Complete Feature Set
- 29 November 2023
- Published by Springer Nature in Indian Journal of Pure and Applied Mathematics
- Vol. 56 (2) , 728-736
On $\varepsilon $-phase-isometries between the positive cones of continuous function spaces- 29 November 2023
- Published by Springer Nature in Indian Journal of Pure and Applied Mathematics
- Vol. 56 (2) , 728-736
On $\varepsilon $-phase-isometries between the positive cones of continuous function spaces- 29 June 2022
- Published by Springer Nature in Journal of Electrical Engineering & Technology
- Vol. 18 (1) , 481-494
MMC-MTDC Secondary Compensation Droop Control Strategy for Large-Scale New Energy Grid Connection
- 29 June 2022
- Published by Springer Nature in Journal of Electrical Engineering & Technology
- Vol. 18 (1) , 481-494
MMC-MTDC Secondary Compensation Droop Control Strategy for Large-Scale New Energy Grid Connection
- Open Access
Evolutionary Analysis for Residential Consumer Participating in Demand Response Considering Irrational Behavior
Demand response (DR) has been recognized as a powerful tool to relieve energy imbalance in the smart grid. Most previous works have ignored the irrational behavior of energy consumers in DR project implementation. Accordingly, in this paper, we focus on solving two questions during the execution of DR. Firstly, considering the bounded rationality of residential users, a population dynamic model is proposed to describe the decision behavior on whether to participate in the DR project, and then the evolutionary process of consumers participating in DR is analyzed. Secondly, for the DR participants, they have to compete dispatching amounts for maximal profit in a day-ahead bidding market, hence, a non-cooperative game model is proposed to describe the competition behavior, and the uniqueness of the Nash equilibrium is analyzed with mathematical proof. Then, the distributed algorithm is designed to search the evolutionary result and the Nash equilibrium. Finally, a case study is performed to show the effectiveness of the formulated models.
Open AccessEvolutionary Analysis for Residential Consumer Participating in Demand Response Considering Irrational Behavior
Demand response (DR) has been recognized as a powerful tool to relieve energy imbalance in the smart grid. Most previous works have ignored the irrational behavior of energy consumers in DR project implementation. Accordingly, in this paper, we focus on solving two questions during the execution of DR. Firstly, considering the bounded rationality of residential users, a population dynamic model is proposed to describe the decision behavior on whether to participate in the DR project, and then the evolutionary process of consumers participating in DR is analyzed. Secondly, for the DR participants, they have to compete dispatching amounts for maximal profit in a day-ahead bidding market, hence, a non-cooperative game model is proposed to describe the competition behavior, and the uniqueness of the Nash equilibrium is analyzed with mathematical proof. Then, the distributed algorithm is designed to search the evolutionary result and the Nash equilibrium. Finally, a case study is performed to show the effectiveness of the formulated models.