Predicting energy consumption for cost savings with Amazon Forecast

The increase in energy prices has financial implications for many organizations across various industries. In this session, we demonstrate how to generate highly accurate energy forecasts in a timely and affordable manner with analytics and 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. They can also use the forecast data to predict potential savings when applying different energy efficiency measures, as well as recommend the best measure to use.