Intelligent Control for Sustainable Energy Management in Underground Stations

Hongliang Guo, Alfons Salden

Abstract

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References

  1. Anderson, R. J., Maxwell, R., Harris, N. 2009. Maximizing the potential for metros to reduce energy consumption and deliver low-carbon transportation in cities. Working paper for the CoMET and Nova Metro Benchmarking Groups.
  2. Franke, J., Hirsch, C. Jensen, A. G., Krüs, H. W., Schatzmann, M., Westbury, P. S., Miles, S. D., Wisse, J. A., Wright, N.G., 2004. Recommendations on the use of CFD in wind engineering. In: van Beeck, J.P.A.J. (Ed.), Proc.of the International Conference on Urban Wind Engineering and Building Aerodynamics. COST Action C14. Von Karman Institute, SintGenesius-Rode, Belgium.
  3. Ansuini R., Larghetti R., Vaccarini M., Carbonari A., Giretti A., Ruffini S., Guo H., Lau S. L. (2012). Hybrid Modeling for Energy Saving in Subway Stations. In: Jonathan Wright and Malcolm Cook, (Editors); 2012, “Proceedings of the 2012 Building Simulation and Optimization Conference”; 10-11 September 2012, Loughborough, Leicestershire, UK; ISBN 978-1-897911-42-6. Published by Loughborough University.
  4. Cui S.; Goldsmith, A. J.; Bahai, A., "Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks," Selected Areas in Communications, IEEE Journal on , vol.22, no.6, pp.1089,1098, Aug. 2004 doi: 10.1109/JSAC.2004.830916
  5. Den Hertog D., Roos C. and Terlaky T., (1990) On the Classical Logarithmic Barrier Function Method for a Class of Smooth Convex Programming Problems, In Journal of Optimization Theory and Applications, volume 73, Issue 1, pp 1-25.
  6. Boyd S.and Vandenberghe L., Convex Optimization (2004), Cambridge University Press.
  7. Alizadeh F., Haeberly J.-P. A., and Overton M. L., Primaldual interiorpoint methods for semidefinite programming: Convergence rates, stability and numerical results. SIAM Journal on Optimization, 8(3):746-768, 1998.
  8. Alizadeh F.. Combinatorial Optimization with InteriorPoint Methods and Semi-Definite Matrices. PhD thesis, University of Minnesota, 1991.
  9. Gill P. G., Murray W., Saunders M. A., Tomlin J. A., and M. H. Wright. On projected newton barrier methods for linear programming and an equivalence to Karmarkar's projective method. Mathematical Programming, 36:183-209,1986.
  10. US Department of Energy, Energy Efficiency Trends in Residential and Commercial Buildings (2008), in Energy Efficiency and Renewable Energy.
  11. Lamoudi M. Y, Alamir M. and Béguery P., "Distributed constrained Model Predictive Control based on bundle method for building energy management,". 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, pp. 8118-8124, Dec 2011.
  12. Samuel P., Jan S., Lukas F., Jiri C., Model predictive control of a building heating system, The first experience, in Journal of Energy and Buildings, 2011, volume 43, issue 2-3, pp 564-572.
  13. Lakshmi G., Data Center Energy Management, PhD dissertation, Cornell University, 2012.
  14. Oscar P., private communication, TMB, Barcelona, October, 2011.
  15. SEAM4US consortium. (2013, 04 01). SEAM4US website. Available: http://www.seam4us.eu.
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Paper Citation


in Harvard Style

Guo H. and Salden A. (2013). Intelligent Control for Sustainable Energy Management in Underground Stations . In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8565-71-6, pages 566-571. DOI: 10.5220/0004590705660571


in Bibtex Style

@conference{icinco13,
author={Hongliang Guo and Alfons Salden},
title={Intelligent Control for Sustainable Energy Management in Underground Stations},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2013},
pages={566-571},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004590705660571},
isbn={978-989-8565-71-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Intelligent Control for Sustainable Energy Management in Underground Stations
SN - 978-989-8565-71-6
AU - Guo H.
AU - Salden A.
PY - 2013
SP - 566
EP - 571
DO - 10.5220/0004590705660571