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Forecasting · Analytics · 2025

EV Charging Demand Forecasting

Time-series forecasting for electric-vehicle charging demand

Role
Data Science & Forecasting
Discipline
Forecasting · Analytics
Year
2025

Overview

A case study applying forecasting methods to electric-vehicle charging demand.

The challenge

Estimate future charging demand and evaluate the forecast with clear, decision-ready metrics.

Approach

The analysis uses time-series methods and reports both RMSE and MAPE to describe forecast performance.

Outcome

Reported performance: RMSE 3,782.32 kWh and MAPE 16.57%.

Highlights

  • RMSE: 3,782.32 kWh
  • MAPE: 16.57%
  • Time-series demand forecasting