Forecasts Niels

The first basic implementation taking forecasts into account. Forecasts represented as "deterministic" to-be realised price in csv file with starting days as columns and hours ahead as rows. Forecasts are now turned on by taking -f as input parameter for the main.py file, but could be config setting as well if preferred. A config example is given in forecast_3days.yaml .