Incorporate Meteorological Features

Background: Machine learning models for time series prediction often benefit from contextual information that describes the underlying physical drivers of the observed variable.

Question / Future Work: Investigate the incorporation of additional meteorological features, such as temperature, wind speed and direction, humidity, and atmospheric pressure, into the models to determine whether this contextual information enhances predictive accuracy or primarily adds noise to the time-series forecasting framework.