AI applications in buildings: a review of energy management advancements

• Autorzy: Mohammed Talat Ebrahim Ali Dalia , Motuzienė Violeta

Identyfikatory

DOI

10.53412/jntes-2024-1-1

• Języki publikacji: EN

Abstrakty

EN

In a time where environmental concerns are growing and global energy challenges are intensifying, it has become crucial to make efforts to attain a smarter and more sustainable built environment. We live in an age signified by massive datasets and are witnessing the rapid growth of Artificial Intelligence (AI) capabilities, which presents prospects for incorporating these technological advancements into the field of building management. The integration of AI into Building Energy Management Systems (BEMS) can potentially optimize the energy efficiency in buildings and improve the effectiveness of building operations and maintenance. Therefore, this paper review thoroughly evaluates the profound advantages and benefits of applying AI models in building energy management. It investigates various AI techniques applied to optimize HVAC operation, energy savings, and building management, presenting potential avenues for future research in the domain of AI applications in BEMS.

Słowa kluczowe

EN

Artificial Intelligence; Building Energy Management Systems; energy efficiency; HVAC

• Wydawca: Kielce University of Technology
• Czasopismo: Journal of New Technologies in Environmental Science
• Rocznik: 2024
• Tom: Vol. 8, nr 1
• Strony: 3--11
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Mohammed Talat Ebrahim Ali Dalia

• Lithuanian Energy Institute, Breslaujos gatvė 3 LT-44403 Kaunas, Lithuania

autor

Motuzienė Violeta

• Lithuanian Energy Institute, Breslaujos gatvė 3 LT-44403 Kaunas, Lithuania
• Vilnius Gediminas Technical University, Sauletekio al. 11 LT-10223 Vilnius, Lithuania

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