Optimizing demand-controlled ventilation with thermal comfort and CO2 concentrations using long short-term memory and genetic algorithm

Author:

Wu Da-ChunORCID,Momeni Mehdi,Razban AliORCID,Chen Jie

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference52 articles.

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2. Rethinking HVAC temperature setpoints in commercial buildings: the potential for zero-cost energy savings and comfort improvement in different climates;Papadopoulos;Build. Environ.,2019

3. Human-in-the-loop HVAC operations: a quantitative review on occupancy, comfort, and energy-efficiency dimensions;Jung;Appl. Energy.,2019

4. Energy efficient building environment control strategies using real-time occupancy measurements;Erickson,2009

5. Occupancy based demand response HVAC control strategy;Erickson;BuildSys10 - Proc. 2nd ACM Workshop Embed. Sens. Syst. Energy-Effic. Build.,2010

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