We'll learn how to monitor and analyse energy data from sensors on a Raspberry Pi, simulating solar or wind power systems. Data is streamed into InfluxDB 3 Core (an open source time series database), where we use Python plugins to run Prophet ML for forecasting and River ML for real-time anomaly detection, directly inside the database. You'll see how you can collect and query data from edge devices to deliver smart insights for energy monitoring on the edge.