Machine Learning for Facility Life Cycle Cost Analysis

PI: Dr. Xinghua Gao

Our team has been working on forecasting facilities' life-cycle cost (LCC) by implementing machine learning on historical data. We have proposed a comprehensive and generalizable framework for developing facility LCC analysis machine learning models. This framework specifies the data requirements, methods, and expected results in each step of the model development process.

Linked Publications: 

A framework of developing machine learning models for facility life-cycle cost analysis
Machine Learning Applications in Facility Life-Cycle Cost Analysis: A Review