Mentioned in 4 AI use cases across 1 industries
This is like a smart weather-and-power crystal ball: it looks at recent weather and production data and uses machine learning to predict how much solar and wind power will be generated in the next few hours.
This is like giving the power grid a very smart weather forecast, but instead of predicting rain, it predicts how much electricity people will use so green energy sources can be used more efficiently.
This is like a smart autopilot for renewable power plants that mixes solar, wind, and batteries. It predicts how much energy you’ll get from the sun and wind, how much your customers will use, and then automatically decides when to store, sell, or buy electricity to save money and keep the lights on.
A smart grid is like upgrading from an old landline to a modern smartphone for your electricity network. Instead of just pushing power one way from big plants to homes, the grid becomes two‑way, with sensors and software that can see what’s happening in real time, shift loads, use home batteries and solar panels, and prevent or shorten outages.