Detail aplikovaného výsledku

Prediction of energy consumption based on thermostat modelling

BURGET, R.; POVODA, L.; RAJNOHA, M.; UHER, V.; MAŠEK, J.; HARÁR, P.

Originální název

Prediction of energy consumption based on thermostat modelling

Anglický název

Prediction of energy consumption based on thermostat modelling

Druh

Software

Abstrakt

The software product is a method how to reduce energy costs based on big data analysis. Customer would get lower energy bill and his home comfort would not be affected. Customer would be able to predict energy consumption based on different thermostat settings as lower temperature, different period settings, etc.

Abstrakt aglicky

The software product is a method how to reduce energy costs based on big data analysis. Customer would get lower energy bill and his home comfort would not be affected. Customer would be able to predict energy consumption based on different thermostat settings as lower temperature, different period settings, etc.

Klíčová slova

big data, simulation, data mining

Klíčová slova anglicky

big data, simulation, data mining

Umístění

Kancelář SD5.73 (Burget), Honeywell

Licenční poplatek

K využití výsledku jiným subjektem je vždy nutné nabytí licence

www

http://splab.cz/download/software/thermostat-data-mining

Dokumenty

132751