Ronny

I don't understand that. I'll try to concretize my idea: I have e.g. 50 runs of the washing machine with a specific power consumption over the time. Per run there are specific phases with different consumption (heating, cleaning, tumbling, ...). For learning I could give power consumption over time per run and maybe the cleaning program which was used (would be nice if it would be grouped by program automatically without giving program). Then when being used I only give power consumption of current...

Yes, I mean consumption. It's the only data I have.

Hello, maybe a stupid or funny question: in relation to my home automation I'm thinking about how to find out when my washing machine will be ready doing the laundry. Now my idea was using a neuronal network to find out the state or ending time based on power data of historical runs and power data of actual run. The neuronal network had to recognize the program and forecast the ending time. Is it a possible use case that could be solved using libfann and how complicated would it be to do so? Thanks...