The Energy Management Association is teaming up with the Lawrence Berkeley National Laboratory to host a free AIA-approved webinar that will discuss the 2016–2020 Smart Energy Analytics Campaign, a public–private-sector partnership program focused on supporting commercially available Energy Management and Information Systems (EMIS) and monitoring-based commissioning (MBCx) practices for commercial buildings.

Learning Objectives

  • Understand the cost and energy savings related to Energy Management and Information Systems.
  • Recognize the differences and similarities of the tools and technologies in the EMIS family.
  • Understand the barriers and enablers to implementation of EMIS in real-world applications.
  • Learn about the current research landscape on the future direction of EMIS.

“After four years in operation, I'm excited to finally share a report on this campaign with building stakeholders who benefit from stored, organized, analyzed, and prioritized automated data.”   – Eliot Crowe, Lawrence Berkeley National Laboratory, EMA Webinar Presenter

Webinar Title: Proving Business Case for Building Analytics


Sponsor: Facilio, an AI-driven property operations platform that allows real estate owners to aggregate building data, optimize performance, and control portfolio operations – all from one place.


When: July 13, 2021, 2:00 PM Eastern / 1:00 PM Central / 12:00 PM Mountain / 11:00 AM Pacific


Registration Link:


Presenter: Eliot Crowe, Lawrence Berkeley National Laboratory


Continuing Education Credits: AIA 1 LU


Cost: Free


Who Should Attend? Building Owners & Facility Managers, Architects, Commissioning Providers, Energy Managers, MEP Engineers, HVAC Testing Professionals, and other Building Professionals.


The Energy Management Association is dedicated to providing education, training and certification to energy management professionals on behalf of building owners. Its Energy Management Professional Certification (EMP) features a commissioning-based curriculum that maximizes energy efficiency and optimization of building systems.