Corpus ID: 12439970

Machine Learning Applied to Weather Forecasting

@inproceedings{Holmstrom2016MachineLA,
  title={Machine Learning Applied to Weather Forecasting},
  author={M. Holmstrom and D. Liu},
  year={2016}
}
Future We obtained weather data for Stanford from Weather Underground for the years 2011-2015. For each day, the features obtained were the maximum temperature, the minimum temperature, the mean humidity, the mean atmospheric pressure, and the weather classification. There were originally nine classifications, but we condensed them into four: clear, moderately cloudy, very cloudy, rain/storm. We first implemented a linear regression model for predicting temperatures. We then implemented a new… Expand
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