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Engineering Laboratory

## Building Energy & Environment Division 

-  Intelligent Buildings Agents Project  Expand or Collapse    -  IBAL Overview 
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# Publications

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## General Information

                  - NIST's Testbed for Optimizing Building System Performance  ***Copyright notice**	Used with Permission by ASHRAE.  This article was published in ASHRAE Journal, December 2018. Copyright 2018 ASHRAE. Posted at www.ashrae.org. This article may not be copied and/or distributed electronically or in paper form without permission of ASHRAE. For more information about ASHRAE Journal, visit www.ashrae.org.* 

## Background

                  - Detecting Faults in Building Air Handling Units A Background Study for Developing Intelligent Agents for Optimizing Building HVAC Systems
                  - Are intelligent agents the key to optimizing building HVAC system performance?
                  - Optimization of Building HVAC Systems Using Intelligent Agents; A Proof of Concept Study

## Design

                  - Measurement Uncertainty of the Air System in the IBAL
                  - Intelligent Building Agents Laboratory: Air System Design
                  - Measurement Uncertainty in the Hydronic System in the IBAL
                  - Intelligent Building Agents Laboratory: Hydronic System Design

## Research Results 

                  - Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances with Application to HVAC Systems
                  - Using distributed agents to optimize thermal energy storage
                  - Reinforcement Learning for Building Management Systems

## Contacts

### FOR MORE INFORMATION, CONTACT:

                -  Amanda Pertzborn  amanda.pertzborn@nist.gov      (301) 975-5879   

-  **‹** Research 
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