Dejan Mumovic 
- (2024): Comparison of Deterministic, Stochastic, and Energy-Data-Driven Occupancy Models for Building Stock Energy Simulation. In: Buildings, v. 14, n. 9 (25 August 2024).
- (2024): CIBSE TM54 energy projections I: A case study using quasi-steady state modelling. In: Building Services Engineering Research and Technology, v. 45, n. 4 (July 2024).
- (2024): CIBSE TM54 energy projections II: A case study using dynamic simulation with template systems modelling. In: Building Services Engineering Research and Technology, v. 45, n. 4 (July 2024).
- (2024): CIBSE TM54 energy projections III: A case study using dynamic simulation with detailed system modelling. In: Building Services Engineering Research and Technology, v. 45, n. 4 (July 2024).
- (2023): Effects of short_term exposure to moderate pure carbon dioxide levels on cognitive performance, health symptoms and perceived indoor environment quality. In: Building and Environment, v. 245 (November 2023).
- (2023): Evaluating the impact of air purifiers and window operation upon indoor air quality - UK nurseries during Covid-19. In: Building and Environment, v. 243 (September 2023).
- (2023): The impact of climate change on cognitive performance of children in English school stock: A simulation study. In: Building and Environment, v. 243 (September 2023).
- (2023): Dynamic modelling of indoor environmental conditions for future energy retrofit scenarios across the UK school building stock. In: Journal of Building Engineering, v. 63 (January 2023).
- (2022): Improving indoor air quality and occupant health through smart control of windows and portable air purifiers in residential buildings. In: Building Services Engineering Research and Technology, v. 43, n. 5 (26 August 2022).
- (2022): Exploring the relationship between window operation behavior and thermal and air quality factors: A case study of UK residential buildings. In: Journal of Building Engineering, v. 48 (May 2022).
- (2021): An investigation of the influencing factors for occupants' operation of windows in apartments equipped with portable air purifiers. In: Building and Environment, v. 205 (November 2021).
- (2021): Characterising the English school stock using a unified national on-site survey and energy database. In: Building Services Engineering Research and Technology, v. 43, n. 1 (August 2021).
- (2021): A decision support tool for building design: An integrated generative design, optimisation and life cycle performance approach. In: International Journal of Architectural Computing, v. 19, n. 3 (May 2021).
- (2015): Application of a Monte Carlo model to predict space heating energy use of Belgrade's housing stock. In: Journal of Building Performance Simulation, v. 8, n. 6 (November 2015).
- (2017): Energy use predictions with machine learning during architectural concept design. In: Science and Technology for the Built Environment, v. 23, n. 6 (August 2017).
- (2015): Indoor air quality in London schools. Part 1: ‘performance in use’. In: Intelligent Buildings International, v. 7, n. 2-3 (March 2015).
- (2015): Indoor air quality in London schools. Part 2: long-term integrated assessment. In: Intelligent Buildings International, v. 7, n. 2-3 (March 2015).
- (2015): Crowd-sourced building intelligence: the potential to go beyond existing benchmarks for effective insight, feedback and targeting. In: Intelligent Buildings International, v. 7, n. 2-3 (March 2015).
- (2015): Designing intelligent teaching and learning spaces: what do we know?. In: Intelligent Buildings International, v. 7, n. 2-3 (March 2015).
- (2015): Is CO2 a good proxy for indoor air quality in classrooms? Part 1: The interrelationships between thermal conditions, CO2 levels, ventilation rates and selected indoor pollutants. In: Building Services Engineering Research and Technology, v. 36, n. 2 (February 2015).
- (2015): Is CO2 a good proxy for indoor air quality in classrooms? Part 2: Health outcomes and perceived indoor air quality in relation to classroom exposure and building characteristics. In: Building Services Engineering Research and Technology, v. 36, n. 2 (February 2015).
- (2013): Comprehensiveness and usability of tools for assessment of energy saving measures in schools. In: Building Services Engineering Research and Technology, v. 34, n. 1 (January 2013).
- (2020): Cross-sectoral assessment of the performance gap using calibrated building energy performance simulation. In: Energy and Buildings, v. 224 (October 2020).
- (2020): The impact of indoor environment quality (IEQ) on school children's overall comfort in the UK; a regression approach. In: Building and Environment, v. 185 (November 2020).
- (2020): Long-term, continuous air quality monitoring in a cross-sectional study of three UK non-domestic buildings. In: Building and Environment, v. 180 (August 2020).
- (2020): Indoor air quality (IAQ) in naturally-ventilated primary schools in the UK: Occupant-related factors. In: Building and Environment, v. 180 (August 2020).
- (2020): Development of a health data-driven model for a thermal comfort study. In: Building and Environment, v. 177 (June 2020).
- (2019): Building Schools for the Future: Lessons Learned From Performance Evaluations of Five Secondary Schools and Academies in England. In: Frontiers in Built Environment, v. 4 (February 2019).
- (2019): Clearing the air on EU guidance projects for school buildings. In: Building Research & Information, v. 47, n. 5 ( 2019).
- (2014): Improved benchmarking comparability for energy consumption in schools. In: Building Research & Information, v. 42, n. 1 ( 2014).
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