Game-Based Optimal Dispatch Using Electric Vehicle User Profiles in Changzhou

Research Projects · 2025

Completed · Contributor

Overview

Changzhou Science & Technology Program (Soft Science), project CR20250058.

Background

Electricity users differ in their consumption patterns and demand-response capabilities.

Problem

Identify these differences and quantify response potential to support differentiated response and dispatch strategies.

Solution

Construct multidimensional profiles, use self-organizing mapping to identify cluster centers, and apply an improved K-means algorithm to classify users.

Technology Stack

MATLAB
Self-organizing mapping
Improved K-means clustering
Demand-response indicators

Implementation

Constructed electricity-use and demand-response capability profiles.
Used SOM-assisted cluster-center identification and improved K-means classification.
Developed integrated demand-response indicators to quantify response potential across user groups.

Result

The academic CV records CR20250058 as completed. The work supports differentiated response and dispatch strategies; no quantitative improvement is supplied.

Gallery

Conceptual illustration for Game-Based Optimal Dispatch Using Electric Vehicle User Profiles in Changzhou — AI-generated cover illustration. This is not a project screenshot or a research result.

Demo

No public demo is available for this entry.