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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Dincer, I., Rosen, M. (2002) Thermal Energy Storage , New York: John Wiley & Sons, Ltd

	De Dear, RJ and Brager, GS (2002) Thermal comfort in naturally ventilated buildings: Revisions to ASHRAE Standard 55 , Energy and Buildings, 34(6), p. 549-561

	Healy, J. D., & Clinch, J. P. (2002) Fuel Poverty, Thermal Comfort and Occupancy: Results of a National Household-survey in Ireland , Applied Energy, 73(3), 329-343. Available at: https://doi.org/https://doi.org/1.116/S36-261

	Laouadi, A., Atif, M. R. and Galasiu, A. (2002) Towards developing skylight design tools for thermal and energy performance of atriums in cold climates , Building and Environment, 37(12), pp. 1289-1316

	Nicol, J. F. and Humphreys, M. A. (2002) Adaptive thermal comfort and sustainable thermal standards for buildings , Energy and buildings, 34(6), pp. 563-572

	Wright JA, Loosemore HA and Farmani R. (2002) Optimization of building thermal design and control by multi-criterion genetic algorithm , Energy Build; 34(9): 959–972

	Wright, J. A., H. A. Loosemore, and R. Farmani (2002) Optimization of Building Thermal Design and Control by Multi-Criterion Genetic Algorithm , Energy and Buildings 34 (9): 959–72

	Wright, J. A., H. A. Loosemore, and R. Farmani (2002) Optimization of building thermal design and control by multi-criterion genetic algorithm , Energy and Buildings, vol. 34 (9):959-972

	Wright, J. A., Loosemore, H. A. & Farmani, R. (2002) Optimization of Building Thermal Design and Control by Multi-criterion Genetic Algorithm , Energy and Buildings, vol. 34, no. 9, pp. 959–972

	Wright, J. A., Loosemore, H. A. and Farmani, R. (2002) Optimization of building thermal design and control by multi-criterion genetic algorithm , Energy and Buildings, 34(9), 959-972

	Wright, JA, Loosemore, HA and Farmani, R (2002) Optimization of building thermal design and control by multi-criterion genetic algorithm , Energy and Buildings, 34, pp. 959-972

	Wright, JA, Loosemore, HA and Farmani, R (2002) Optimization of building thermal design and control by multi-criterion genetic algorithm , Energy and Buildings, 34(9), pp. 959-972

	De Gracia A. and Cabeza L.F. (2015) Phase change materials and thermal energy storage for buildings , Energy Build; 103: 414–419

	Hirmiz, R., Lightstone, M.F. and Cotton, J.S. (2018) Performance enhancement of solar absorption cooling systems using thermal energy storage with phase change materials , Applied Energy, 223, pp. 11-29

	Karaipekli, A (2016) Development and thermal performance of pumice/organic PCM/gypsum composite plasters for thermal energy storage in buildings , Solar Energy Materials and Solar Cells, 149, pp. 19-28

	Liu, S. and G.P. Henze (2006) Experimental analysis of simulated reinforcement learning control for active and passive building thermal storage inventory: Part1 – theoretical foundations , Energy and Buildings 38 (2): 142–147

	Luo, Z, Wang, C, Xiao, G, Ni, M and Cen, K (2014) Simulation and Experimental Study on Honeycomb-Ceramic Thermal Energy Storage for Solar Thermal Systems , Applied Thermal Engineering, 73 (1), p. 622-28

	Pielichowska K. and Pielichowski K. (2014) Phase change materials for thermal energy storage , Prog Mater Sci; 65: 67–123

	Pomianowski, MZ, Heiselberg, P and Zhang, Y (2013) Review of thermal energy storage technologies based on PCM application in buildings , Energy and Buildings, 67, pp. 56-69

	Sarbu I and Sebarchievici C (2017) Thermal energy storage. Solar heating and cooling systems - fundamentals, experiments and applications , Cambridge, MA: Academic Press, 2017, pp. 99–138

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