Climate-driven forecasting incorporates the impact of weather changes on future customer demand. Traditional demand forecasting has long accounted for the seasonal impact on customer behavior. Climate-driven forecasting is a logical extension that leverages improved analytics and the availability of structured and unstructured data. Some of the climate-driven forecasting solutions exploit existing demand signal repositories, but others rely on proprietary databases.