Forecasting energy usage with analytics and machine learning

The price increases in energy prices has financial implications for many organizations across many industries. In this session, we demonstrate how to generate highly accurate energy forecasts in a timely and affordable manner with analytics machine learning, without requiring any prior ML experience. Organizations can proactively identify ways to predict pre-pay or month end energy usage, avoiding high energy bills that will impact operating costs, or use forecast to predict potential savings when applying different energy efficiency measures, as well as recommend the best measures to use.