Jon Farland focuses on energy forecasting and state-of-the-art predictive analytics. He applies data science to use cases across the energy industry such as load forecasting in the presence of distributed energy resources, demand response impact forecasting, and load disaggregation. Previously, he worked at TROVE Predictive Data Science and at DNV GL Energy as a senior consultant. Jon has a Bachelor’s in finance and operations research and a Master’s in applied econometrics, both from the University of Massachusetts Amherst.