[1. Hein, C., Spaces of Identity in East European Cities. 2012.10.1177/0096144211427120]Search in Google Scholar
[2. Smith, M. and G. Richards, Routledge Handbook of Cultural Tourism. 2013: Routledge.10.4324/9780203120958]Search in Google Scholar
[3. Sepe, M., Urban history and cultural resources in urban regeneration:a case of creative waterfront renewal. Planning Perspectives, 2013(ahead-of-print): p. 1-19.10.1080/02665433.2013.774539]Search in Google Scholar
[4. Lähdesmäki, T., Politics of Cultural Marking in Mini-Europe:Anchoring European Cultural Identity in a Theme Park. Journal of Contemporary European Studies, 2012. 20(1): p. 29-40.10.1080/14782804.2012.656950]Search in Google Scholar
[5. Martinez, N.M., City marketing and place branding: A critical reviewof practice and academic research. Journal of Town and City Management, 2012. 2(4): p. 369-394.]Search in Google Scholar
[6. Jahnke, C., THE CITY OF LÜBECK AND THE INTERNATIONALITYOF EARLY HANSEATIC TRADE. The Hanse in Medieval and Early Modern Europe, 2012. 60: p. 37.]Search in Google Scholar
[7. Aste, N., R. Adhikari, and M. Buzzetti, ENERGY RETROFIT OFHISTORICAL BUILDINGS: AN ITALIAN CASE STUDY. Journal of Green Building, 2012. 7(4): p. 144-165.10.3992/jgb.7.4.144]Search in Google Scholar
[8. Levine, M., et al., A Retrofit Tool for Improving Energy Efficiency ofCommercial Buildings. ACEEE 2012 Summer Study, 2012.]Search in Google Scholar
[9. Asadi, E., et al., Multi-objective optimization for building retrofitstrategies: A model and an application. Energy and Buildings, 2012. 44: p. 81-87.10.1016/j.enbuild.2011.10.016]Search in Google Scholar
[10. Heo, Y., R. Choudhary, and G. Augenbroe, Calibration of buildingenergy models for retrofit analysis under uncertainty. Energy and Buildings, 2012. 47: p. 550-560.10.1016/j.enbuild.2011.12.029]Search in Google Scholar
[11. Booth, A. and R. Choudhary, Decision making under uncertainty inthe retrofit analysis of the UK housing stock: Implications for the GreenDeal. Energy and Buildings, 2013.10.1016/j.enbuild.2013.05.014]Search in Google Scholar
[12. Asadi, E., et al., A multi-objective optimization model for buildingretrofit strategies using TRNSYS simulations, GenOpt and MATLAB.]Search in Google Scholar
[Building and Environment, 2012. 56: p. 370-378.10.1016/j.buildenv.2012.04.005]Search in Google Scholar
[13. Junghans, L., Sequential Equi-Marginal Optimization Method forranking strategies for Thermal Building Renovation. Energy and Buildings, 2013.10.1016/j.enbuild.2013.05.028]Search in Google Scholar
[14. Lapinskiene, V. and V. Martinaitis, The Framework of anOptimization Model for Building Envelope. Procedia Engineering, 2013. 57: p. 670-677.10.1016/j.proeng.2013.04.085]Search in Google Scholar
[15. Diakaki, C. and E. Grigoroudis, Applying genetic algorithms tooptimize energy efficiency in buildings. Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications, 2013: p. 309.10.1002/9781118522516.ch13]Search in Google Scholar
[16. Ma, Z., et al., Existing building retrofits: Methodology and state-of-theart.]Search in Google Scholar
[Energy and buildings, 2012.]Search in Google Scholar
[17. Rysanek, A. and R. Choudhary, Optimum building energy retrofitsunder technical and economic uncertainty. Energy and Buildings, 2012.10.1016/j.enbuild.2012.10.027]Search in Google Scholar
[18. Konstantinou, T. and U. Knaack, An approach to integrate energyefficiency upgrade into refurbishment design process, applied in twocase-study buildings in Northern European climate. Energy and Buildings, 2013. 59: p. 301-309.10.1016/j.enbuild.2012.12.023]Search in Google Scholar
[19. Fabbri, K., Energy incidence of historic building: Leaving no stoneunturned. Journal of Cultural Heritage, 2013.10.1016/j.culher.2012.12.010]Search in Google Scholar
[20. Hensley, J.E. and A. Aguilar, Improving Energy Efficiency in HistoricBuildings. Vol. 3. 2012: Government Printing Office.]Search in Google Scholar
[21. Costa, A., et al., Building operation and energy performance:Monitoring, analysis and optimisation toolkit. Applied Energy, 2013. 101: p. 310-316.10.1016/j.apenergy.2011.10.037]Search in Google Scholar
[22. Group, W.B.D.D., World Development Indicators 2012. 2012: World Bank-free PDF.]Search in Google Scholar
[23. Agency, I.E. Key World Energy Statistics-2012. 2012. IEA Paris, France.]Search in Google Scholar
[24. Hensen, J. Building energy simulation: challenges and opportunities. in SIMUREX 2012-Conception optimisée du bâtiment par la SIMUlation etle Retour d'EXpérience. 2012. EDP Sciences.10.1051/iesc/2012simurex00007]Search in Google Scholar
[25. Jung, D.K., et al., Optimization of Energy Consumption Using BIMBasedBuilding Energy Performance Analysis. Applied Mechanics and Materials, 2013. 281: p. 649-652.10.4028/www.scientific.net/AMM.281.649]Search in Google Scholar
[26. Xu, Z., et al., Performance Analysis and Comparison on EnergyStorage Devices for Smart Building Energy Management. Smart Grid, IEEE Transactions on, 2012. 3(4): p. 2136-2147.10.1109/TSG.2012.2218836]Search in Google Scholar
[27. Roberts, S. and R. Stephenson, Measure Guideline: Wall Air Sealingand Insulation Methods in Existing Homes. 2012.10.2172/1219763]Search in Google Scholar
[28. Ueno, K. and R. Van Straaten, Expert Meeting Report: InteriorInsulation Retrofit of Mass Masonry Wall Assemblies. 2012: US Department of Energy, Energy Efficiency & Renewable Energy.10.2172/1219552]Search in Google Scholar
[29. European Commission, 7th frame program, International project 3ENCULT "Efficient Energy for EU Cultural Heritage", "Proposal for the integration of historic buildings in the EPBD", http://www.3encult.eu/en/deliverables/Documents/WP7_D7.8_2013051 7_P12_Proposal_integration_Historic_Buildings_in_EPBD.pdf /last acessed 10-09-2013.]Search in Google Scholar