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Umeå University
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Staff photo Santhan Reddy Penaka

Santhan Reddy Penaka

0000-0002-7790-4855

Contact

E-mail
santhan.penaka@umu.se
Phone
+46 90 786 76 55, +46 72 203 56 10

Works as

Affiliation
Doctoral student at Department of Applied Physics and Electronics
Location
Visiting address, view map
Diverse occupant behaviour and urban building heterogeneity to enhance urban building energy modelling
Energy and Buildings, Elsevier 2026, Vol. 351
Penaka, Santhan Reddy; Feng, Kailun; Olofsson, Thomas; et al.
Impact of thermal properties on building stock energy use using explainable artificial intelligence
ICCREM 2024: ESG Development in the Construction Industry: proceedings of the International Conference on Construction and Real Estate Management 2024, American Society of Civil Engineers (ASCE) 2025 : 870-878
Penaka, Santhan Reddy; Feng, Kailun; Lu, Weizhuo
Improved energy retrofit decision making through enhanced bottom-up building stock modelling
Energy and Buildings, Elsevier 2024, Vol. 318
Penaka, Santhan Reddy; Feng, Kailun; Olofsson, Thomas; et al.
Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits: A case study in northern Sweden
Technology in society, Elsevier 2023, Vol. 75
Liu, Bokai; Penaka, Santhan Reddy; Lu, Weizhuo; et al.
Automated machine learning-based framework of heating and cooling load prediction for quick residential building design
Energy, Elsevier 2023, Vol. 274
Lu, Chujie; Li, Sihui; Penaka, Santhan Reddy; et al.
A data-driven framework for building energy benchmarking and renovation decision-making support in Sweden
SBE23-Thessaloniki: Sustainable built environments: Paving the way for achieving the targets of 2030 and beyond
Penaka, Santhan Reddy; Feng, Kailun; Rebbling, Anders; et al.
Data-driven modelling of building retrofitting with incomplete physics: a generative design and machine learning approach
Journal of Physics, Conference Series, Institute of Physics (IOP) 2023, Vol. 2654
Yu, Haitao; Feng, Kailun; Penaka, Santhan Reddy; et al.
Energy-efficient retrofitting with incomplete building information: a data-driven approach
E3S web of conferences
Feng, Kailun; Lu, Weizhuo; Penaka, Santhan Reddy; et al.
Interactive visual analytics platform for public engagement in energy-efficient building transitions: evidence from a Nordic city empirical study
Feng, Kailun; Penaka, Santhan Reddy; Lu, Weizhuo
An integrated framework for tailored building envelope retrofits in swedish municipalities: from heterogeneous big data to explainable AI
Penaka, Santhan Reddy; Feng, Kailun; Olofsson, Thomas; et al.
View publications in DiVA

PhD scholar with focus on sustainable built environment, specialized in AI and data-driven urban building energy modelling