• Helena Nbeu Nkula Manuel
• Husseini Musa Kehinde
• Adelia Celestina Nkula Manuel

This article delves into the transformative impact of artificial intelligence (AI) on energy efficiency within the modern construction sector. It highlights various AI-driven innovations that are revolutionizing the industry by optimizing design processes, improving construction methodologies, and integrating sustainable practices. Through a detailed examination of practical applications, the paper elucidates how AI enhances energy efficiency by employing smart design software, predictive analytics, and automated construction technologies. Furthermore, it discusses the benefits of these advancements, such as reduced energy consumption, minimized material waste, and the seamless incorporation of renewable energy sources. The article also addresses the challenges and future prospects of AI in construction, including cost implications, skill gaps, and data privacy concerns. By providing a comprehensive analysis, this paper underscores AI's pivotal role in fostering a greener, more sustainable future for the construction industry (Sawhney, Riley, & Irizarry, 2020; Bock & Linner, 2015; Dallasega, Rauch, & Matt, 2018; Esmaeili & Hallowell, 2012; Brynjolfsson & McAfee, 2014).

Artificial Intelligence (AI), Energy Efficiency, Modern Construction, Sustainable Building Practices, AI Innovations in Construction, IoT

"THE ROLE OF AI IN ENHANCING ENERGY EFFICIENCY IN MODERN CONSTRUCTION: INNOVATIONS AND TRANSFORMING CONSTRUCTION AND DESIGN PRACTICES FOR A GREENER FUTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.d617-d628, June-2024, Available :http://www.jetir.org/papers/JETIR2406375.pdf

"THE ROLE OF AI IN ENHANCING ENERGY EFFICIENCY IN MODERN CONSTRUCTION: INNOVATIONS AND TRANSFORMING CONSTRUCTION AND DESIGN PRACTICES FOR A GREENER FUTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppd617-d628, June-2024, Available at : http://www.jetir.org/papers/JETIR2406375.pdf