Presentation Group 1 https://1drv.ms/p/s!AqJ9fvRWTat7g5wcEr2um2roiaN2pA

Thank you @Marino for the cool visualization! Gute Besserung

Den Präsentationslink wurde verschoben.

Added Präsentationslink.

Some statistics out of the analysis: retrieved non-zero prices: 94 / 125 (75%) retrieved non-zero hourly/weekly/seasonal tables: 42 /125 (33.5%) number of results in agreement with Elcom: 0 / 125 (0%)

New data collected and stuffed into the presentation. Motivation still up :)

Cost function so we can compare algorithms:

def calculate_total_kwh_m(mst_table): return (mst_table['routes']*abs(mst_table['heat_total'])).sum()