Multi-Agent Interaction-Based Data Augmentation for Intelligent Pricing Strategies at Charging Stations

ZHOU Ruiao; XU Xiao; XU Lixiong; LIU Youbo; SHANG Yuwei; BAI Shuaitao; LIU Junyong

doi:10.12204/j.issn.1000-7229.2026.10.012

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Multi-Agent Interaction-Based Data Augmentation for Intelligent Pricing Strategies at Charging Stations

Power Economics | 更新时间：2026-09-30

- Multi-Agent Interaction-Based Data Augmentation for Intelligent Pricing Strategies at Charging Stations
- Electric Power Construction Vol. 47, Issue 10, Pages: 151-165(2026)
- 作者机构：
  
  1.四川大学电气工程学院，成都市 610065
  2.中国电力科学研究院有限公司，北京市 100192
- 作者简介：
- 基金信息：
  
  National Science and Technology Major Project on Smart Grid （2030）(2025ZD0806600)
- DOI：10.12204/j.issn.1000-7229.2026.10.012
  CLC： TM72
- Received：28 February 2026，
  
  Revised：2026-03-25，
  
  Published：01 October 2026
- 稿件说明：
移动端阅览
周瑞翱,许潇,许立雄等.考虑多主体交互数据增强的充电站智能定价策略[J].电力建设,2026,47(10):151-165.

ZHOU Ruiao,XU Xiao,XU Lixiong,et al.Multi-Agent Interaction-Based Data Augmentation for Intelligent Pricing Strategies at Charging Stations[J].Electric Power Construction,2026,47(10):151-165.
周瑞翱,许潇,许立雄等.考虑多主体交互数据增强的充电站智能定价策略[J].电力建设,2026,47(10):151-165. DOI： 10.12204/j.issn.1000-7229.2026.10.012.

ZHOU Ruiao,XU Xiao,XU Lixiong,et al.Multi-Agent Interaction-Based Data Augmentation for Intelligent Pricing Strategies at Charging Stations[J].Electric Power Construction,2026,47(10):151-165. DOI： 10.12204/j.issn.1000-7229.2026.10.012.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Second‑level Gust Forecast Based Dynamic Switching Strategy for Wind Turbine Speed‑Reserve Mode

Electric Vehicle Charging and Discharging Strategy for Distribution Networks Considering Supply and Demand Side Benefits and Three-Phase Imbalance Management

Spatial-Temporal Distribution Prediction of Electric Vehicle Charging Load Considering Charging Behavior and Real-Time SOC

Topology and Control Strategy for A Dynamic Voltage Compensation System Based on Multi-Tap Transformer

LLM-Empowered Meteorological Agent Construction and Its Application in Short-Term Power Load Forecasting

Related Author

HU Zhangqin

WANG Jingyu

HUANG Sizhe

HUANG Yixiang

SHI Dongyuan

YAO Wei

QIN Jinyu

LIU Shenquan

Related Institution

National State Key Laboratory of Advanced Electromagnetic Technology，Huazhong University of Science and Technology

School of Electrical and Electronic Engineering， Huazhong University of Science and Technology

School of Electric Power Engineering， South China University of Technology

Henan Engineering Research Center of Power Electronics and Energy Systems

School of Electrical and Information Engineering， Zhengzhou University

AI导读

AI问答

⁰

Multi-Agent Interaction-Based Data Augmentation for Intelligent Pricing Strategies at Charging Stations

DOI：10.12204/j.issn.1000-7229.2026.10.012