During development of the app that monitors the energy production of my solar panels at home, I had to manually start the program each morning and stop it when the sun set. Let's see how we can make this more 'production grade' by running it as a service. On a Raspberry Pi. Only when there is daylight.

After looking at monitoring energy consumption in the last few parts, we are now going to look at the energy production side of my setup.

After giving you an introduction to this project, showing the worker service and setting up the development environment, it is now time to show you how I get data out of the meter and make some sense of it.

In this case I'm talking about the development environment. There are a lot of different ways that you can make .NET core stuff run on a Raspberry Pi. This part of the series shows how I set up an environment that works the way I like it.