Challenging problem to solve
Construction projects consume about 40% of global energy and generate 30% of CO2 emissions. These numbers are increasing because the rapid urbanization process leads to an increase in the greenhouse effect and global warming. Therefore, efficient use of energy in buildings is imperative to reduce energy costs, environmental impact and to increase the competitive value of construction projects. Early forecasting of energy consumption in buildings will help improve energy efficiency during the operation and maintenance phase of the building.
Project objectives
- Collect and process energy consumption data of buildings;
- Develop a forecast model based on artificial intelligence for early forecasting of energy consumption in non-residential buildings;
- Forecast results help users proactively save energy during use.
Social impact
- The results of the study are expected to help building managers improve and increase energy efficiency in non-residential buildings;
- This is also the basis for developing an energy saving decision support system to improve energy efficiency in non-residential buildings.
