Smart Buildings with Self-Supervised Learning: Exploratory Research in Energy Efficiency and Occupant Comfort

Mahammed, A and Kant, R and Sarkar, S and Sonia, _ and Gongada, TN and Eesha, _ (2023) Smart Buildings with Self-Supervised Learning: Exploratory Research in Energy Efficiency and Occupant Comfort. In: 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023, 12-13 may 2023, Greater Noida, pp. 1963-1968.

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Abstract

In this piece of research, how self-supervised learning could be used to make smart buildings is discussed. By continuously learning and adapting, smart buildings can optimize energy consumption, reduce costs, and improve the overall occupant experience. Self-Supervised learning technique has the potential to greatly enhance both energy efficiency and occupant comfort while simultaneously lowering operational expenses. It is shown how smart buildings can use the power of self-supervised learning algorithms to keep learning and adapting to new situations. This results in a physical environment that is more intelligent and sustainable. Future building design and management may be drastically altered by this technology. © 2023 IEEE.

Item Type:	Conference Paper
Publication:	2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Architectural design; Energy efficiency; Energy utilization; Intelligent buildings; Learning algorithms; Sustainable development, Building occupant comfort; Energy-consumption; Environmental footprints; Exploratory research; Learning techniques; Occupant comforts; Operational expense; Reduce costs; Self-supervised learning; Sustainable environment, Supervised learning
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	01 Mar 2024 05:38
Last Modified:	01 Mar 2024 05:38
URI:	https://eprints.iisc.ac.in/id/eprint/83810

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