Author: Jennifer Grimley

High Energy Lab Building Alert: How to Manage Your Costs and Carbon Emissions with Advanced Technology

EXPERT QUOTE: “The pressure on building owners and operators to reduce GHG emissions and shift towards electrification is growing. Research labs and pharmaceutical manufacturing facilities have very high energy intensities due to the number of air changes per hour required for a safe and productive environment. Couple this with rising energy costs and the cost

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

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