After a week of collecting smart meter readings, I’m now ready to show results in a cloud-based energy monitor system – Bidgely – complete with graphs showing readings, cost and machine learning results breaking down my usage by appliance.
This is part 4 of a series of posts about the Internet of Things applied to Home Energy Monitoring. I have a Smart Meter from BC Hydro, an Eagle energy monitor and various cloud apps helping me understand it all.
After you’ve loaded log files into elasticsearch you can start to visualize them using the Kibana web app and build your own dashboard. While using Kibana for a week or so, I found it tricky to find the docs or tutorials to get me up to speed quickly with some of the more advanced/hidden features.
In this Kibana dashboard video:
build TopN automated classification queries
view the TopN values of a particular column from the table panel
manually create multiple queries to appear as series in your charts