Economic, policy, social, and regulatory aspects of AI-driven smart buildings

Abstract

The significance of this research depends on the fact that it thoroughly investigates the effective implementation of advanced technologies in smart buildings particularly automated systems in buildings, sensors, and data analytics, to enhance operational efficiency, occupant comfort, and sustainability associated with the incorporation of artificial intelligence (AI) technology into Building Management Systems (BMS). Improving the building's efficiency, sustainability, and the occupants' comfort is a prime goal of this research. However while attaining this, certain obstacles such as socioeconomic inequalities, data privacy protection, negotiating regulatory landscapes, and providing effective access to all the smart technologies make hurdles that need to be overcome and rectified. The Integrated AI-Driven Smart Buildings Framework (IAI-DSBF) is a novel strategy that has been modeled and implemented to tackle, analyze, and set out the possibilities intelligently to the user to make a necessary action and in some instant, it decides itself and makes the logical action which needs for the moment. The IAI-DSBF provides a methodical approach to managing smart buildings' monetary, societal, and regulatory components, economic growth, effective policymaking, social inclusion, and navigating regulatory complexity can all be achieved using this model with the aid of artificial intelligence. This all-encompassing method makes it easier to create smart building ecosystems that emphasize openness, responsibility, and the general welfare of society. Our simulation results show that the suggested framework effectively improves building performance measures, increases compliance with regulations, and encourages community involvement by analyzing the data from the smart-building system Kaggle dataset. Urban planning, energy management, public health, and disaster response are a few fields that have been useful for the IAI-DSBF. The proposed IAI-DSBF increases the building performance ratio of 99.1 %, community involvement ratio of 98.5 %, economic growth ratio of 99.12 %, sustainability ratio of 98.2 %, and resilience ratio of 97.5 % compared to other pre-existing models. By adopting this integrated approach, stakeholders can fully utilize smart technologies to build sustainable and resilient communities and cities.