Developers and data scientists: Find answers in energy demand forecasting solution template

Smart Grid

At its core, accurate and reliable energy demand forecasting is an advanced analytics problem. To help developers and data scientists find answers faster, the Demand Forecasting for Energy solution template is now available on the Microsoft Cortana Analytics Suite.

Among the most fundamental data-driven use cases is energy demand forecasting (or load forecasting). By being able to forecast future demand, utilities can plan ahead and respond to that predicted demand by purchasing or generating the required amount of energy, avoiding energy waste and controlling costs. Energy demand forecast is driving other use cases such as demand-supply balancing, grid optimization, revenue protections and more.

Find out more about this template on the Machine Learning Blog.

Athima Chansanchai
Microsoft News Center Staff