AI-Based forecasting solutions at edge for energy monitoring and anomaly detection.

Prediction of consumption from production planning and detect both energy and production anomalies are attractive tasks in manufacturing. An AI-based solution at edge allows to correlate the energy consumption of machines and productive anomalies to the planned production. By combining data from IIoT smart meters (energy) and MES software (production plans) an easy-to-integrate framework was developed also useful for existing plants or energy utilities. Lightweight AI framework running at the edge is proposed for online prediction and detection.