Hybrid energy consumption prediction model for office buildings

This is the project for the master’s degree. It includes the following three steps:

• Extract key variables that affect the energy consumption of office buildings using sensitivity analysis methods.

• Integrate multi-source heterogeneous data of energy consumption including hourly data from metering systems, monthly data from electricity bills, and simulation data.

• Build a hybrid energy consumption prediction model using statistical and machine learning methods