Quhaoh233/ChatEV

ChatEV: Predicting electric vehicle charging demand as natural language processing

42
/ 100
Emerging

This project helps predict future electric vehicle (EV) charging demand by treating historical charging data as a natural language processing task. You provide past EV charging station usage data, and it generates forecasts of how many charging sessions to expect. This tool is for urban planners, utility companies, and smart grid managers who need to anticipate energy needs and optimize charging infrastructure.

No commits in the last 6 months.

Use this if you need to accurately forecast future electric vehicle charging demand for resource allocation or infrastructure planning.

Not ideal if you are looking for a plug-and-play solution without any programming or technical setup, as this requires model finetuning and script execution.

EV-charging-forecasting smart-grid-management urban-planning energy-demand-prediction transportation-logistics
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

55

Forks

10

Language

Python

License

MIT

Category

rag-qa-systems

Last pushed

May 17, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Quhaoh233/ChatEV"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.