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The increased adoption of energy technologies like smart meters, solar panels, and battery storage has led to a rise in electricity pricing plans with costs
To help reduce electricity consumption and its costs, university and NIST researchers proposed a strategy for controlling residential heating, ventilation, and
NIST researchers and collaborators recently published the paper, A Framework for the Composition of Internet of Things (IoT) and Cyber-Physical Systems (CPS)
Fault detection and diagnostic (FDD) methods are receiving increasing consideration for application in space-conditioning equipment as a method to reduce energy
NIST is developing the tools to define and verify high-performance indoor air quality (IAQ) as well as the broader indoor environmental quality (IEQ) in low
Building ventilation and indoor air quality (IAQ) performance must account for many new challenges related to sustainability and resilience goals, including
We present the development of a bias compensating reinforcement learning (RL) algorithm that optimizes thermal comfort (by minimizing tracking error) and
Zhelun Chen, Yicheng Li, Jin Wen, Liang Chung Lo, Gabriel Grajewski, Zheng O'Neill, Amanda Pertzborn, Vance (Wm.) Payne, Steven T. Bushby
As one of the primary users of the electric grid, buildings and building equipment, including heating, ventilation, and air conditioning (HVAC) systems, can be
Machine learning control (MLC) is a highly flexible and adaptable method that enables the design, modeling, tuning, and maintenance of building controllers to
HVAC-Cx is a semi-automated commissioning software tool designed to facilitate performance analysis for heating, ventilating, and air conditioning (HVAC)
The first version of HVACSIM+, which stands for “HVAC SIMulation PLUS other systems”, was introduced by National Institute of Standards and Technology (NIST) in
The NIST Virtual Cybernetic Building Testbed (VCBT) is a whole building emulator designed with enough flexibility to be capable of reproducibly simulating