To conserve energy, AI clears up cloudy forecasts: A team of master’s students in the Smith School helped to develop the Toboggan Lodge case study
A new approach developed by Fengqi You, the Roxanne E. and Michael J. Zak Professor in Energy Systems Engineering, predicts the accuracy of the weather forecast using a machine learning model trained with years’ worth of data on forecasts and actual weather conditions. You combined that predictor with a mathematical model that considers building characteristics including the size and shape of rooms, the construction materials, the location of sensors and the position of windows. Read more