AI-Driven Energy Efficiency in Buildings and Urban Environments
- Title
- AI-Driven Energy Efficiency in Buildings and Urban Environments
- Creator
- Selvakumar, P.; Ganesh Kumar, R.; Kumar, Pallapati Ravi; Manjunath, T.C.; Arun, M.R.
- Description
- In buildings, AI-driven energy management systems (EMS) are revolutionizing the way energy is consumed. Smart building technologies equipped with AI can monitor environmental conditions, occupancy patterns, and equipment performance to fine-tune their operations, leveraging intensive machine learning to learn the preferences of building occupants and adapt accordingly to ensure comfort while minimizing energy use. Predictive maintenance, powered by AI, also contributes to energy efficiency by identifying equipment that operates inefficiently or is at risk of failure, enabling timely interventions that prevent energy waste. The industrial sector, a significant consumer of global energy, is another arena where AI is making remarkable strides in enhancing energy efficiency. 2026 by IGI Global Scientific Publishing. All rights reserved.
- Source
- Advancing the Clean Energy Frontier Through AI-Powered Green Innovation;pp.69-93
- Date
- 01-01-2025
- Publisher
- IGI Global
- Coverage
- Selvakumar P., Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India; Ganesh Kumar R., Christ University, India; Kumar P.R., Koneru Lakshmaiah Education Foundation, India; Manjunath T.C., Rajarajeswari College of Engineering, India; Arun M.R., Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833735542-9; 979-833735540-5;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Selvakumar, P.; Ganesh Kumar, R.; Kumar, Pallapati Ravi; Manjunath, T.C.; Arun, M.R., “AI-Driven Energy Efficiency in Buildings and Urban Environments,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/24830.