Works matching DE "ENERGY consumption of public buildings"
Results: 34
Airtightness of Energy Efficient Buildings.
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- GSTF Journal of Engineering Technology, 2013, v. 2, n. 2, p. 72, doi. 10.5176/2251-3701_2.2.74
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RISING PUBLIC AWARENESS OF ENERGY EFFICIENCY OF BUILDINGS ENHANCED BY "SMART" CONTROLS OF THE IN-DOOR ENVIRONMENT.
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- Thermal Science, 2016, v. 20, n. 4, p. 1307, doi. 10.2298/TSCI140813145P
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APPLICATION AND IMPORTANCE OF COST-BENEFIT ANALYSIS TO ENERGY EFFICIENCY PROJECTS IN PUBLIC BUILDINGS: THE CASE OF SERBIA.
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- Thermal Science, 2012, v. 16, n. 3, p. 915, doi. 10.2298/TSCI110911090M
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КРИТЕРІЙ ОЦІНКИ ЕФЕКТИВНОСТІ ЕНЕРГООЩАДНОГО ПРОЕКТУ.
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- Scientific Journal of Chernihiv State Institute of Economics & Management. Series 1, Economics, 2013, n. 1, p. 93
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Wie genau sind unsere Energiepässe?
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- Bauphysik, 2014, v. 36, n. 1, p. 40, doi. 10.1002/bapi.201410007
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- Article
A Study of the Impact of Exhaust Heat Recovery on Public Building Energy Consumption in Seasonal Extreme Temperatures.
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- International Journal of Simulation: Systems, Science & Technology, 2016, v. 17, n. 48, p. 34.1, doi. 10.5013/IJSSST.a.17.48.34
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The power of qualitative data in post-occupancy evaluations of residential high-rise buildings.
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- Journal of Housing & the Built Environment, 2016, v. 31, n. 4, p. 605, doi. 10.1007/s10901-015-9481-2
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Comparative building performance evaluation of a ‘sustainable’ community centre and a public library building.
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- Building Services Engineering Research & Technology, 2017, v. 38, n. 6, p. 691, doi. 10.1177/0143624417717202
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Re-assessing the economic and analytical tools that measure and optimize households' energy-efficiency improvements.
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- Housing & Society, 2015, v. 42, n. 3, p. 166, doi. 10.1080/08882746.2015.1121672
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The Constitutionality of Uncompensated §179D(d)(4) Allocations by State, Local, and Municipal Government Building Owners.
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- ATA Journal of Legal Tax Research, 2018, v. 16, n. 1, p. 1, doi. 10.2308/jltr-52126
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Cities Take the Lead on Sustainability.
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- Journal of Property Management, 2018, v. 83, n. 2, p. 40
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Energy performance and environmental quality of typical railway passenger stations in northern China.
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- Indoor & Built Environment, 2018, v. 27, n. 3, p. 296, doi. 10.1177/1420326X16672509
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Chinese standard requirements on indoor environmental quality for assessment of energy-efficient buildings.
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- Indoor & Built Environment, 2014, v. 23, n. 2, p. 194, doi. 10.1177/1420326X13507793
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Optimization of Energy Consumption of Coastal Green Public Buildings Based on Genetic Algorithm.
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- Journal of Coastal Research, 2020, v. 103, p. 1056, doi. 10.2112/SI103-220.1
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IMPROVING ENERGY EFFICIENCY IN PUBLIC BUILDING IN THE MUNICIPALITY OF ČAČAK.
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- Acta Technica Corviniensis - Bulletin of Engineering, 2017, v. 10, n. 2, p. 153
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Simulation Analysis and Scheme Optimization of Energy Consumption in Public Buildings.
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- Advances in Civil Engineering, 2019, p. 1, doi. 10.1155/2019/6326138
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Lessons learnt from the first public buildings in Estonia intended to be passive houses.
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- Proceedings of the Estonian Academy of Sciences, 2015, v. 64, n. 2, p. 157, doi. 10.3176/proc.2015.2.04
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Introduction to the Special Issue: Financing Instruments to Promote Energy Efficiency and Renewables in Times of Tight Public Budgets.
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- Energy & Environment, 2013, v. 24, n. 1/2, p. 1, doi. 10.1260/0958-305X.24.1-2.1
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State-Budget-Independent Support Instruments for Promoting Energy Refurbishment Measures in the German Buildings Sector.
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- Energy & Environment, 2013, v. 24, n. 1/2, p. 105, doi. 10.1260/0958-305X.24.1-2.105
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The impact of different solar passive systems on energy saving in public buildings and occupants’ thermal and visual comfort.
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- Journal of Building Physics, 2016, v. 40, n. 2, p. 177, doi. 10.1177/1744259115597705
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An insulation thickness optimization methodology for school buildings rehabilitation combining artificial neural networks and life cycle cost.
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- Journal of Civil Engineering & Management, 2016, v. 22, n. 7, p. 915, doi. 10.3846/13923730.2014.928364
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Prediction of government-owned building energy consumption based on an RReliefF and support vector machine model.
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- Journal of Civil Engineering & Management, 2015, v. 21, n. 6, p. 748, doi. 10.3846/13923730.2014.893908
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Energy efficiency and risk management in public buildings: strategic model for robust planning.
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- Computational Management Science, 2014, v. 11, n. 1/2, p. 25, doi. 10.1007/s10287-013-0177-3
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Realisation barriers in energy efficiency projects in Croatian public buildings: a critic overview and proposals.
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- International Journal of Sustainable Energy, 2017, v. 36, n. 9, p. 901, doi. 10.1080/14786451.2015.1127236
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Energy consumption in the residential sector: a study on critical factors.
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- International Journal of Sustainable Energy, 2016, v. 35, n. 7, p. 645, doi. 10.1080/14786451.2014.930466
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An Energy Management Platform for Public Buildings.
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- Electronics (2079-9292), 2018, v. 7, n. 11, p. 294, doi. 10.3390/electronics7110294
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IMPACT OF ARCHITECTURAL FEATURES ON ENERGY CONSUMPTION IN SCHOOLS: AN APPROACH TO ECOLOGICAL ARCHITECTURE.
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- International Journal of Ecosystems & Ecology Sciences, 2018, v. 8, n. 3, p. 471, doi. 10.31407/ijees835
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Energy performance indexes: analysis in public schools in Brazil.
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- Energy Efficiency (1570646X), 2017, v. 10, n. 6, p. 1433, doi. 10.1007/s12053-017-9530-7
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Assessment of energy-saving technologies retrofitted to existing public buildings in China.
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- Energy Efficiency (1570646X), 2016, v. 9, n. 1, p. 67, doi. 10.1007/s12053-015-9350-6
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Agreement Technologies for Energy Optimization at Home.
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- Sensors (14248220), 2018, v. 18, n. 5, p. 1633, doi. 10.3390/s18051633
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GSA, DOE Seek to Improve Efficiency of Federal Buildings.
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- ASHRAE Journal, 2017, v. 59, n. 12, p. 8
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An innovative inverse analysis technique for building cooling design with HVAC systems.
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- Science & Technology for the Built Environment, 2016, v. 22, n. 3, p. 299, doi. 10.1080/23744731.2016.1132940
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AVALIAÇÃO DE DESEMPENHO TÉRMICO DE EDIFICAÇÃO PÚBLICA EM CUIABÁ, MT: ESTUDO DE CASO.
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- Revista Monografias Ambientais, 2012, v. 7, n. 7, p. 1670
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An Application of Non-Linear Autoregressive Neural Networks to Predict Energy Consumption in Public Buildings.
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- Energies (19961073), 2016, v. 9, n. 9, p. 684, doi. 10.3390/en9090684
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