A new energy automobile public charging facility space demand prediction method
A spatial demand forecasting method for public charging facilities for new energy vehicles, constructed using multi-source data and combining the analytic hierarchy process (AHP) and the CRITIC weighting method, solves the problem of unreasonable charging facility layout in traditional methods, achieving more accurate and operable demand forecasting and generating an intuitive spatial demand hotspot map.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NORTHEAST FORESTRY UNIV
- Filing Date
- 2026-03-25
- Publication Date
- 2026-06-16
AI Technical Summary
The existing layout of public charging facilities for new energy vehicles is unreasonable, and there is a mismatch between supply and demand. Traditional forecasting methods lack comprehensive consideration of multi-source data and spatial heterogeneity, resulting in a disconnect between planning schemes and actual urban construction, and insufficient objectivity and stability of evaluation results.
A spatial demand forecasting method for public charging facilities for new energy vehicles based on multi-source data is constructed. By collecting data on population heat maps, road networks, POIs, building outlines, nighttime lighting, and housing prices, a spatial geographic information database with five dimensions is built. The analytic hierarchy process and CRITIC weighting method are used for comprehensive evaluation to generate a spatially visualized demand hotspot map.
It improves the accuracy and objectivity of predicting the spatial demand for public charging facilities, generates intuitive layout schemes, enhances the practicality and guidance of planning, and adapts to the planning needs of cities of different sizes.
Smart Images
Figure CN122222128A_ABST