Automatic prediction of visitations to specified points of interest
US11867524B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 24, 2022 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Aug 24, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T90/12
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Techniques are described herein for predicting popularity metrics and/or visitation metrics that are used in the selection of a point of interest (POI) for placement of an electric vehicle charging station (EVCS). The techniques involve training a machine learning model based on information obtained about POIs at which EVCSs are already installed. The information used to train the machine learning model includes, for each existing installation location: (a) visitation data that describes visitation features, and (b) popularity metrics and/or visitation metrics that have been generated for the location. When the machine learning model has been trained, the trained machine learning model predicts popularity metrics and/or visitation metrics for a POI location at which no EVCS has been installed based on the visitation data of that POI.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.