Machine Learning .NET
I’m working on a school project where I’m developing an AI to predict the electricity production of solar panels and the electricity consumption of a company. I’m using .NET Machine Learning and AutoML for hyperparameter optimization, selecting the best model.
The problem is that the results don’t match expectations. For example, on weekends, consumption is stable, while on weekdays, it’s higher, but the model doesn’t recognize this pattern properly. I don’t know why.
Can someone take a look and help improve it?
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