The production and energy supply supported by IoT enables smooth processes and early prevention of malfunctions through preventive diagnostic systems. IoT-based predictive maintenance strategies for energy supply and industrial automation optimize plant maintenance, allow real-time remote control and adapt maintenance schedules to real conditions. Machine and deep learning help to detect deviations at an early stage and display anomalies by means of planning algorithms.