Energy Predictor (2025)

Languages: Python

This project uses the US City-Scale Daily Electricity Consumption and Weather Data from Kaggle, which includes hourly electricity and weather data for Los Angeles, New York, and Sacramento. It predicts city-level electricity demand using load, weather (temperature, humidity), temporal (hour, day, week), and lagged load (previous hour, same hour previous day) features to capture consumption patterns for improved forecasting and energy management.