Abstract
The aim of this work is the development of heat regime management of smart home, which satisfies conditions of comfort and economy. The investigation deals with the problem of minimization of payment of consumed energy for heating of smart home. Saving is possible due to the different power supply tariffs. Cheaper payment was implemented with the use of optimization time diagram of discrete inclusion of heater in different cost of energy tariffs. It was installed values of minimum Emin and maximum Emax energy possible for house in condition of permanent inclusion of heater. Time step of introduced energy was egual to one hour. The model of smart house represents system of linear algebraic eduations, solution of such give set possible chart options of discrete inclusions of heater. From a set of option was selected the case that answers minimum of payment of heating. It was created the calculation program by Python with using library Pyomo. The code of program is given in the appendix
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