Research on Predictive Control Strategy for Radiation + Fresh Air Conditioning System in Multi-Climate Zones
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Hans Publishers
Reference15 articles.
1. 邵俊强, 郑雨霖, 车铭江, 等. 人工智能技术在家用空调节能减排领域的应用[J]. 制冷学报, 2023, 44(3): 14-28+40.
2. Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China
3. Modeling techniques used in building HVAC control systems: A review
4. An Artificial Neural Network (ANN) model to predict the electric load profile for an HVAC system ⁎ ⁎This work has been funded by the grant from the Spanish Ministry of Economy and Competitiveness (ENERPRO DPI 2014-56364-C2-1-R). Yaser I. Alamin is a fellow of the MARHABA, an Erasmus Mundus Lot 3 project. José Domingo Álvarez is a fellow of the Spanish ‘Ramón y Cajal’ contract program, co-financed by the European Social Fund. Antonio Ruano acknowledges the support of FCT through IDMEC, under LAETA grant UID/EMS/50022/2013.
5. 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
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