Author:
Tian Zhichao,Si Binghui,Wu Yue,Zhou Xin,Shi Xing
Publisher
Springer Science and Business Media LLC
Subject
Energy (miscellaneous),Building and Construction
Reference33 articles.
1. Adams BM, Bohnhoff WJ, Dalbey KR, Eddy JP, Eldred S, et al. (2018). DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 6.8 user’s manual. Sandia National Laboratories, Tech. Rep. SAND2014-4633.
2. Afram A, Janabi-Sharifi F (2014). Theory and applications of HVAC control systems—A review of model predictive control (MPC). Building and Environment, 72: 343–355.
3. Afram A, Janabi-Sharifi F, Fung AS, Raahemifar K (2017). Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system. Energy and Buildings, 141: 96–113.
4. Al-Sanea SA, Zedan MF, Al-Hussain SN (2012). Effect of thermal mass on performance of insulated building walls and the concept of energy savings potential. Applied Energy, 89: 430–442.
5. Arabzadeh V, Alimohammadisagvand B, Jokisalo J, Siren K (2018). A novel cost-optimizing demand response control for a heat pump heated residential building. Building Simulation, 11: 533–547.
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