Category: Analytics

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

Does Your Healthcare Facility have enough Environmental Control Measures to keep your patients, and your bottom line, safe?

Nosocomial infections are a huge safety concern for all people entering your Hospital. Such infections could result in a huge cost to your Healthcare facility, both financial, as well as your reputation. Stay on top of OR and SPD temperature, humidity and ventilation requirements with Monitoring-Based Commissioning!

NYSERDA: Champion of Energy Efficiency Analytics

Utility providers and energy research organizations can play a key role in compelling building owners to make efficiency-focused procurement decisions about their facilities.  NYSERDA (New York State Energy and Research Development Authority) knows that building efficiency analytics are pivotal in identifying, prioritizing and correcting inefficient operations. Smart building owners and facilities managers who strive for