Smart HVAC Systems: The Role of IoT and AI in Energy Optimization

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]30/09/2025 at 3:41 PM[/if 2224] | [if 1553 equals=””] Volume : 12 [else] Volume : 12[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 02 | Page : 38 43

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    By

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    Sai Preetham Anumasu,

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  1. Research Scholar, Department of Electronics and Communication Engineering, Vaagdevi Engineering College, Telangana, India

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Abstract

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nHeating, ventilation, and air conditioning (HVAC) systems are crucial for maintaining interior comfort and air quality in all types of buildings. However, they also rank among the highest energy users in the built environment. Traditional HVAC systems are evolving into intelligent, networked systems through the integration of Internet of Things (IoT) and artificial intelligence (AI) technologies, as energy efficiency and sustainability become increasingly important across the globe. This review article presents a comprehensive analysis of how smart HVAC systems are being transformed by these technologies to enhance energy optimization. IoT enables real-time data acquisition through sensors that monitor temperature, humidity, occupancy, air quality, and equipment status. These devices facilitate seamless communication between components and provide building managers with remote access and control capabilities. When combined with AI algorithms, this sensor data becomes a powerful tool for decision-making and automation. AI applications such as machine learning, predictive analytics, and reinforcement learning allow HVAC systems to anticipate usage patterns, forecast thermal loads, and adjust settings dynamically for improved efficiency. The article also highlights the various energy-saving strategies enabled by smart HVAC systems, including predictive maintenance, zone-based conditioning, load forecasting, and integration with renewable energy sources. Real-world applications and case studies demonstrate significant reductions in energy consumption and operational costs across different building types. Despite the promising benefits, challenges related to data privacy, system interoperability, initial installation costs, and technical complexity remain prevalent. This review concludes by outlining future research directions, including the adoption of edge computing, federated learning, and digital twin technology to further enhance system intelligence and reliability. The convergence of IoT and AI in HVAC systems offers a sustainable path forward, with the potential to revolutionize climate control in buildings and contribute to broader energy conservation goals. Continued innovation and collaboration across disciplines will be key to realizing these opportunities.nn

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Keywords: HVAC, IOT, artificial intelligence, support vector machines, Zone-based conditioning

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Refrigeration, Air conditioning, Heating and ventilation ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Refrigeration, Air conditioning, Heating and ventilation (jorachv)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nSai Preetham Anumasu. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Smart HVAC Systems: The Role of IoT and AI in Energy Optimization[/if 2584]. Journal of Refrigeration, Air conditioning, Heating and ventilation. 08/08/2025; 12(02):38-43.

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How to cite this URL:
nSai Preetham Anumasu. [if 2584 equals=”][226 striphtml=1][else]Smart HVAC Systems: The Role of IoT and AI in Energy Optimization[/if 2584]. Journal of Refrigeration, Air conditioning, Heating and ventilation. 08/08/2025; 12(02):38-43. Available from: https://journals.stmjournals.com/jorachv/article=08/08/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Volume 12
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 02
Received 11/07/2025
Accepted 17/07/2025
Published 08/08/2025
Retracted
Publication Time 28 Days

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