Cumincad : CUMINCAD References : Search Results

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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	Lu, C., S. Li and Z. Lu (2022) Building energy prediction using artificial neural networks: A literature survey , Energy and Buildings, 262, p. 111718

	Lu, S., Wang, C., Fan, Y. & Lin, B. (2021) Robustness of building energy optimization with uncertainties using deterministic and stochastic methods: Analysis of two forms , Building and Environment, 205, 108185

	Lu, Y., Chen, Q., Yu, M., Wu, Z., Huang, C., Fu, J., ... & Yao, J. (2023) Exploring spatial and environmental heterogeneity affecting energy consumption in commercial buildings using machine learning , Sustainable Cities and Society, 95, 104586

	Ehrenfeld, J. (2009) Sustainability by design: a subversive strategy for transforming our consumer culture , New Haven. Conn.: London: Yale University Press

	Lu, Y.R. (2020) Study on Energy Consumption of High-rise Office Buildings in Zhengzhou Based on Design Builder Simulation , Journal of Shandong Agricultural University (Natural Science Edition), 51(02), pp. 355-359

	Luca, F. de., Naboni, E., Lobaccaro, G. (2020) Tall buildings cluster form rationalization in a Nordic climate by factoring in indoor-outdoor comfort and energy , Energy And Buildings, 238. http.10.1016/j.enbuild.2021.110831

	Luisa F. Cabeza, Laura Boquera, Marta Chafer, and David Vérez (2021) Embodied Energy and Embodied Carbon of Structural Building Materials: Worldwide Progress and Barriers through Literature Map Analysis , Energy and Buildings 231: 110612

	Lund, Henrik and Georges Salgi (2009) The role of compressed air energy storage (CAES) in future sustainable energy systems , Energy Conversion and Management, Vol. 50 Issue 5: 1172-117

	Lund, Henrik and Georges Salgi (2009) The role of compressed air energy storage (CAES) in future sustainable energy systems , Energy Conversion and Management, Vol. 50 Issue 5: 1172-117

	Lund, P. (2010) Fast market penetration of energy technologies in retrospect with application to clean energy futures , Applied Energy , 3575-3583

	Løken, E. (2007) Multi-Criteria Planning of Local Energy Systems with Multiple Energy Carriers , PhD Thesis Norwegian University of Science and Technology, Trondheim, April 2007

	M Ayoub (2018) Integrating illuminance and energy evaluations of cellular automata controlled dynamic shading system using new hour- ly-based metrics , Solar Energy 170 (April): 336–351

	M Stojiljkoviæ. M., M. G. Ignjatoviæ, and G. D. Vuèkoviæ (2015) Greenhouse gases emission assessment in residential sector through buildings simulations and operation optimization , Energy 92 (Part 3): 420–434

	M. Fesanghary, S. Asadi, Zong Woo Geem (2012) Design of low-emission and energy-efficient residential buildingsusing amulti-objective optimization algo- rithm , Building and environment,2012,47(Mar.):245-250

	M. J. Pelenur, and H. J. Cruickshank (2012) Closing the Energy Efficiency Gap: A study linking demographics with barriers to adopting energy efficiency measures in the home , Energy 47 (1): 348–357

	M. V. Cruz-Salas, J. A. Castillo, and G. Huelsz (2014) Experimental Study on Natural Ventilation of a Room with a Windward Window and Different Windexchangers , Energy and Buildings 84: 458–65

	M. Villca-Pozo, and J. P. Gonzales-Bustos (2019) Tax incentives to modernize the energy efficiency of housing in Spain , Energy Policy 128(May): 530–538

	Ma, D., Li, X., Lin, B., Zhu, Y., & Yue, S. (2023) A dynamic intelligent building retrofit decision-making model in response to climate change , Energy and Buildings, 284, 112832

	Ma, M., Xie, M., & Ai, Q. (2021) Numerical simulation on photo-thermal properties of double glazing unit filled with TiN-Al2O3 binary nanoparticles enhanced phase change material , Sustainable Energy Technologies and Assessments, 48

	Ma, Z., Ye, C., Li, H., & Ma, W. (2018) Applying Support Vector Machines to Predict Building Energy Consumption in China , Energy Procedia, 152, 78-786. Available at: https://doi.org/1.116/j.egypro.218.9.245

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