Project Information

Objective

To measure how daily temperatures affect electricity demand. This project also predicts how accurately temperature could be used to forecast the demand of electricity in mid-term (8 weeks/2 months).

Achievements

  • Engineered time-series forecasting models like ARIMA/ARIMAX, specifically tailored for predicting power generation and better resource allocation, enhancing renewable energy forecasting accuracy to 96.12%.

    • Tech Stack

    A/B Testing, Auto-correlation, Spectral Density, Analysis of Variance (ANOVA / F-Test), Linear Difference Equations, ARIMA/ARMAX