Ivan Korolija 
- (2024): Reinforcement learning in building controls: A comparative study of algorithms considering model availability and policy representation. In: Journal of Building Engineering, v. 90 (August 2024).
- (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).
- (2022): On the robustness of thermal comfort against uncertain future climate: A Bayesian bootstrap method. In: Building and Environment, v. 226 (December 2022).
- (2022): Modelling platform for schools (MPS): The development of an automated One-By-One framework for the generation of dynamic thermal simulation models of schools. In: Energy and Buildings, v. 254 (January 2022).
- (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): Assessing a fit-for-purpose Urban Building Energy Modelling framework with reference to Ahmedabad. In: Science and Technology for the Built Environment, v. 27, n. 8 (July 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).
- (2017): Thermal responses of single zone offices on existing near-extreme summer weather data. In: Building Simulation, v. 11, n. 1 (July 2017).
- (2016): Design summer year weather – outdoor warmth ranking metrics and their numerical verification. In: Building Services Engineering Research and Technology, v. 37, n. 6 (November 2016).
- (2011): Influence of building parameters and HVAC systems coupling on building energy performance. In: Energy and Buildings, v. 43, n. 6 (June 2011).
- (2013): Regression models for predicting UK office building energy consumption from heating and cooling demands. In: Energy and Buildings, v. 59 (April 2013).
- (2013): UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands. In: Energy and Buildings, v. 60 (May 2013).
- (2019): Evaluating retrofit options in a historical city center: Relevance of bio-based insulation and the need to consider complex urban form in decision-making. In: Energy and Buildings, v. 182 (January 2019).
- (2016): Thermal Assessment of Low-Cost Rural Housing—A Case Study in the Ecuadorian Andes. In: Buildings, v. 6, n. 3 (August 2016).
Structurae cooperates with
