Time Series Modeling For Swedish Energy Consumption

Time series modeling plays a fundamental role in understanding and estimating energy consumption patterns, which are essential for efficient energy management, planning, and sustainability efforts. This project looks in to the application of general time series analysis techniques for predicting energy consumption. With the main focus models being the AR, MA, ARMA, ARMAX and ARIMA models. The project highlights the strengths and weaknesses of the various model approaches in time series modeling for energy consumption specifically in the Swedish energy district SE3. The data used in this project is energy consumption data from this region.