Author: Zlatko Vasilkoski

Machine Learning Part 2: The Model and Leveraging the Results

Part 2 – The Model and Leveraging the Results – A Detailed Perspective of Steps for Machine Learning and Predictive Chilled Water System Analytics in Facility Applications ZLATKO VASILKOSKI, CHIEF SCIENTIST, FACILITYCONNEX If you have not already, check out Part 1 here Creating Machine Learning Models THE DATASET The dependent derived chiller KPIs and their

Machine Learning Part 1: The Machine Data

Part 1 – The Machine Data – A Detailed Perspective of Steps for Machine Learning and Predictive Chilled Water System Analytics in Facility Applications ZLATKO VASILKOSKI, CHIEF SCIENTIST, FACILITYCONNEX FacilityConneX Approach to Predictive Analytics Here we illustrate an effective FCX predictive methodology for organizations to diagnose and detect events that mandate the need for maintenance