Status: Current

To study the potential for improving the energy efficiency of CHPPs, reducing greenhouse gas emissions and applying modeling and machine learning methods for optimal planning of the composition of the generating equipment of the CHPP in Pavlodar, Kazakhstan.

Status: Current

To study the potential for improving the energy efficiency of CHPPs, reducing greenhouse gas emissions and applying modeling and machine learning methods for optimal planning of the composition of the generating equipment of the CHPP in Pavlodar, Kazakhstan.

Status: Completed

Developing an integrating hybrid modeling tool of the energy system, which includes a long-term planning model of the energy system and an operational model of the electric power system.

Status: Completed

The purpose is to study the potential for improving the energy efficiency of CHPPs, reducing greenhouse gas emissions and applying modeling and machine learning methods for optimal planning of the composition of the generating equipment of the CHPP in Pavlodar, Kazakhstan.

Status: Completed

Development of IT solutions to optimizse the energy system of of a smart city with application of machine learning methods to reduce harmful emissions. The following will be developed decision making tools to optimize the CHP, heating system of the city and the control system of resource resource consumption of an apartment building.