AI-Driven Green Construction: Optimizing Energy Efficiency, Waste Management and Security for Sustainable Buildings

Authors

DOI:

https://doi.org/10.21276/jccci/2025.v1.i1.7

Keywords:

Artificial Intelligence, Green Construction, Energy Efficiency, Renewable Energy, Waste management, Security, Sustainability Planning

Abstract

Rapid urbanization and the increased construction activities worldwide have immensely contributed to the consumption of energy and degradation of the environment. Green construction minimizes these impacts by designing energy-efficient buildings and reducing waste. The integration of Artificial Intelligence in green construction presents innovative solutions that optimize design, resource management, and sustainability practices. This paper analyzes the role of AI in achieving energy efficiency in building design and enhancing waste management during construction. It covers key aspects such as generative design, energy modeling, predictive analytics, and automated waste sorting. Real-world applications, challenges, and emerging trends in AI-driven sustainable construction are also included.

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Published

2025-03-31

Issue

Section

Articles

How to Cite

AI-Driven Green Construction: Optimizing Energy Efficiency, Waste Management and Security for Sustainable Buildings. (2025). Journal of Cognitive Computing and Cybernetic Innovations, 1(1), 37-41. https://doi.org/10.21276/jccci/2025.v1.i1.7