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DAN Analytics

13 · Power BI · Python

Energy and sustainability

An installation uses more and nobody sees it.

Find the outlier and run a savings scenario on cost and CO₂.

Demo on fictional data — never customer data.

Price 0.24 euro per kWh and 0.38 kg CO₂ per kWh are model assumptions. The scenario removes 8.0% of consumption.

Scenario
kWh
228,335
Cost
€54,800
CO₂ kg
86,767
Sites
LocatiekWhzCost
Bronwerf Techniek18,000-0.9€4,320
Polderstede Techniek21,700-0.6€5,208
Dijkstede Techniek25,400-0.3€6,096
Kadestede Techniek53,8352.2€12,920
Havenstede Techniek32,8000.4€7,872
Beekstede Techniek36,5000.7€8,760
Hofstede Techniek18,200-0.9€4,368
Veenstede Techniek21,900-0.6€5,256

Kadestede Techniek is the furthest outlier, z = 2.2.

Python
z = (kwh - mean(kwh)) / stdev(kwh)
cost = kwh * 0.24
co2_kg = kwh * 0.38
scenario = kwh * (1 - 0.08)

Curious what this could do for your business?