Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review
University of Southern Denmark · Maersk (Denmark)
Abstract
Data-driven technologies in smart buildings offer significant opportunities to enhance energy efficiency, sustainability, and occupant comfort. However, the existing literature often lacks a holistic examination of the technological advancements, adoption barriers, and business models necessary to realize these benefits. To address this gap, this scoping review synthesizes current research on these technologies, identifies factors influencing their adoption, and examines supporting business models. Inspired by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a structured search of the literature across four major databases yielded 112 relevant studies. The key…
Citation impact
- FWCI
- 36.61
- Percentile
- 100%
- References
- 116
Authors
3Topics & keywords
- Interoperability
- Business model
- Risk analysis (engineering)
- Cloud computing
- Analytics
- Computer science
- Knowledge management
- Efficient energy use