How to Set Up a Dashboard for Global Energy Data Analytics (Real-World Use Case)

The intermittent energy project is a global energy grid analytics platform that processes and analyzes power grid data from over 40 countries, leveraging publicly available energy data to shed light on energy transition discussions. Created by Morgan Christiansson, the project uses TimescaleDB-enhanced PostgreSQL to build real-time analytics dashboards for energy traders, utility companies, and curious energy consumers. The stack is suitable for analyzing all energy production types, mainly intermittent wind and solar energy. With energy data from over 40 countries, including 48 U.S. states and five Australian regions, Christiansson acknowledges the scale and complexity of time-series data. TimescaleDB builds on PostgreSQL to deliver high-speed ingestion of new data while efficiently querying large datasets, enabling real-time analytics on time-series data. The project's source code is open source, with data hosted on Timescale Cloud, which proudly sponsors the intermittent energy server.