We believe (based on years in the field) that the journey to data-driven energy usually starts the same way: asset owners simply want to get an overview over their asset’s behaviour, while remaining open-minded if or how to add automation later. For different use cases, there are different automation priorities – from alerts if assets are not working properly to smart scheduling.
When we were asked to create an energy management system for Jeju island in South Korea, this drove our design choices: be simple, be versatile. We created EMPRAS, an Energy Management platform for Predictive Analytics and Schedules.
EMPRAS quickly provides an overview, with crucial metrics and forecasts, from energy metering, plus weather and prices data. It is versatile as it fits many energy systems, like off-grids, mini-grids, buildings or aggregations thereof. Plus, we can extend EMPRAS with custom smart control decisions to fit to your needs (e.g. scheduling or predictive maintenance).