Employing geospatial analysis and Python programming, this project provides a comprehensive investigation into the accessibility and distribution of the electric vehicle (EV) charging infrastructure in Norway. We have devised a model that analyzes charging demand based on real traffic observations and compares with computed demand from chargers.

Public charging station utilization dataset for the city of Hamburg. Dataset is described in the respective paper: Placing BEV Charging Infrastructure: Influencing Factors, Metrics, and their Influence on Observed Charger Utilization

Powerly Open EV Charge — Android App

🧠 智枢 ZHISHU · 杭州智慧充电城市大脑 — 把 100 根充电桩变成一个城市治理平台:实时供需热力图、XGBoost 可解释选址、电网协同削峰、ESP32 边缘异常检测 | ZHISHU · Turning 100 EV piles into a city brain: real-time heatmap, explainable site selection, grid peak-shaving, edge anomaly detection

Interactive Tableau dashboard visualizing global Electric Vehicle (EV) trends, charging infrastructure, and manufacturer insights.

Open data on electric vehicle adoption, charging infrastructure, and sustainable mobility in Kenya. Maintained by Electric Kenya (electric.ke).