This repository contains the analysis of electrical load curves from the Electric Reliability Council of Texas (ERCOT), focusing on forecasting power grid load demands to ensure reliable and feasible power supply. The analysis spans data from 2002 to 2023 across eight different zones within Texas, utilizing time series analysis techniques including deterministic trend modeling and ARIMA.
The dataset used includes load curve data from ERCOT for different zones in Texas from 2002 to 2023. Data preprocessing involved aggregation into weekly and monthly frequencies to facilitate analysis.
The project successfully applies time series analysis to forecast power demands with significant accuracy. Results include RMSE and MAPE metrics to evaluate forecast accuracy against actual observed data.
- R
- R packages: forecast, tseries, MASS, pracma
Contributions to this project are welcome. Feel free to fork this project and contribute to improving the stroke prediction models.
This project is licensed under the MIT License - see the LICENSE file for details.
Thanks to the ERCOT for providing the data used in this analysis.