Application Of Artificial Intelligence Approach For Carbon Reduction Through RES In Buildings

Abstract

Artificial Intelligence (AI) for carbon reduction through Renewable Energy Systems (RES) in buildings can offer several significant benefits, which contribute to both environmental sustainability and operational efficiency. Through efficient energy management, predictive analytics, and optimized integration of renewable energy sources, AI can reduce energy costs in buildings. AI allows buildings to scale their renewable energy and carbon-reducing initiatives. As more buildings or districts adopt AI-integrated RES, the system can scale efficiently without needing significant redesigns or new infrastructure. Additionally, AI systems are adaptable, meaning that they can evolve and adjust to new technologies, renewable energy sources, and carbon reduction strategies. By optimizing energy use, facilitating better integration of renewable resources, and ensuring continuous performance monitoring, AI can significantly contribute to making buildings more sustainable and carbon-neutral.