«Application of Modeling and Machine Learning Methods for Analyzing Heat Energy Consumption Across Districts of Nur-Sultan»
Supervisor: Kassymkhanov S.M.
Funding Source: Internal university grant
Partners: Astana Energoservice
Project Duration: 2021–2022
Funding Amount: 1,000,000 KZT
Funding Source: Internal university grant
Partners: Astana Energoservice
Project Duration: 2021–2022
Funding Amount: 1,000,000 KZT
Project Objective
Correlation analysis of heat energy consumption across districts of Nur-Sultan, determination of the thermal front propagation rate, and visualization of data on a map.
Results
Development of a correlation model of district heating network data within a software system;
Identification of “blind zones” in data collection system coverage and development of recommendations for installing additional metering devices in the heating network;
Integration of heat energy consumption data with weather data for accurate forecasting of heat demand;
Development of recommendations for forming optimal heat supply requests for districts of Astana based on the performed calculations;
Creation of a color-based visualization of heat consumption zones on the map of Astana;
Generation of a heat consumption map of Astana.