Open Access
Issue |
E3S Web Conf.
Volume 111, 2019
CLIMA 2019 Congress
|
|
---|---|---|
Article Number | 03059 | |
Number of page(s) | 4 | |
Section | High Energy Performance and Sustainable Buildings | |
DOI | https://doi.org/10.1051/e3sconf/201911103059 | |
Published online | 13 August 2019 |
- Pérez-Lombard, L., Ortiz, J. and Pout, C., 2008. A review on buildings energy consumption information. Energy and buildings, 40 (3), pp.394–398. [Google Scholar]
- Semsar-Kazerooni, E.; Yazdanpanah, M.J.; Lucas, C. (2008) Nonlinear Control and Disturbance Decoupling of HVAC Systems Using Feedback Linearization and Backstepping With Load Estimation, in Control Systems Technology, IEEE Transactions, 16 (5), 918–929. [Google Scholar]
- Singhal A., Salsbury T. I. (2007) Characterization and cancellation of static nonlinearity in HVAC systems, ASHRAE Transactions, 113 (1). [Google Scholar]
- Huang G. Wang S., Xu X. (2009) Robust Model Predictive Control of VAV Air-Handling Units Concerning Uncertainties and Constraints, HVAC&R Research, 16 (1), 15–33. [Google Scholar]
- Liao, Y., Sun, Y. and Huang, G., 2015. Robustness analysis of chiller sequencing control. Energy Conversion and Management, 103, pp.180–190. [Google Scholar]
- Maciejowski J. M. (2002) Predictive control with constraints. Practice hall. [Google Scholar]
- Huang G. (2011) Model predictive control of VAV zone thermal systems concerning bi-linearity and gain nonlinearity, Control Engineering Practice 19, 700–710. [Google Scholar]
- Huang G. Wang S.W., Xu X.H., (2009) A robust MPC strategy for improving control performance of air conditioning systems, Energy Conversion and Management 50, 2650–2658. [Google Scholar]
- Clark D.R., in U.S.D. Commerce, N.B.o. Standarts, N.E.o. Laboratory, C. Technology, B.E, f.B, Division (Eds.), (1985) HVACSIM+ Building Systems and Equipment Simulation Program Reference Manual. Gaithersburg, MD 20899. [Google Scholar]
- Bourdouxhe J.P., Groodent M., LeBrun J., (1998) Reference Guide for Dynamic Models of HVAC Equipment: American Society of Heating, Refrigerating and Air Conditioning Engineers Incorporated. [Google Scholar]
- Cristea, V.M., Letiţia, T.O.M.A. and AGACHI, P.Ş., 2007. Simulation and Model Predictive Control of the Fluid Catalytic Cracking Unit Using Artificial Neural Networks. Revue Roumaine de Chimie, 52 (12), pp.1157–1166. [Google Scholar]
- Afram, A. and Janabi-Sharifi, F., 2014. Theory and applications of HVAC control systems–A review of model predictive control (MPC). Building and Environment, 72, pp.343–355. [Google Scholar]
- Pisoni, E.; Farina, M.; Carnevale, C.; Piroddi, L. Forecasting peak air pollution levels using NARX models. Eng. Appl. Artif. Intell. 2009, 22, 593–602. [Google Scholar]
- Ruiz, L.G.B.; Cuéllar, M.P.; Calvo-Flores, M.D.; Jiménez, M.D.C.P. An Application of Non-Linear Autoregressive Neural Networks to Predict Energy Consumption in Public Buildings. Energies 2016, 9, 684. [Google Scholar]
- Vogl, T.P., Mangis, J.K., Rigler, A.K., Zink, W.T. and Alkon, D.L., 1988. Accelerating the convergence of the back-propagation method. Biological cybernetics, 59(4-5), pp.257–263. [Google Scholar]
- Hagan, M.T. and Menhaj, M.B., 1994. Training feedforward networks with the Marquardt algorithm. IEEE transactions on Neural Networks, 5 (6), pp.989–993. [Google Scholar]
- Asad, H.S., Yuen, R.K.K. and Huang, G., 2017. Multiplexed real-time optimization of HVAC systems with enhanced control stability. Applied Energy, 187, pp.640–651 [Google Scholar]
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