By embedding lightweight machine learning models into edge platforms located directly at or near the data source, renewable energy systems can now automatically identify, label and organise their data in real time. Real-world impact across the renewable stackThe shift to edge-based data normalisation is already taking shape in renewable energy deployments, particularly in utility-scale solar and battery storage projects. Some edge platforms now embed this functionality out of the box, including commercial solutions based on open frameworks like EdgeX Foundry. For example, IOTech’s edge software includes built-in tools to support real-time data normalisation at scale, helping renewable energy providers manage diverse assets more efficiently while reducing integration time and manual effort. Andrew Foster is product director at open edge data platform, IOTech.