Machine Learning saves Energy by predicting accuracy of weather forecasts – RtoZ.Org – Latest Technology News

Sophisticated heating and cooling systems in Buildings adjust themselves based on the predicted weather. But when the forecast is imperfect – as it often is – buildings can end up wasting energy. A new approach developed by Cornell Researchers predicts the accuracy of the weather forecast using a machine learning model trained with years' worth of data on forecasts and actual weather conditions. The Researchers 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. The result is a smart control system that can reduce energy usage by up to 10 percent, according to a case study the research team conducted on Toboggan Lodge, a nearly 90-year-old building on Cornell's campus.