Geospatial and Emerging Technologies for Sustainable Energy Efficiency
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 118
Special Issue Editor
Interests: GIS; BIM; CIM; LiDAR; IoT; GeoAI; geospatial technologies for energy efficiency
Special Issue Information
Dear Colleagues,
In an era of rapid urbanization and rising energy demand, deploying sustainable energy efficiency strategies is of fundamental importance for decisionmakers seeking to accelerate decarbonization while improving the quality of life of ordinary citizens. The implementation of these strategies requires near-perfect understanding of the built environment as well as of those environmental parameters that strongly impact energy efficiency decisions. Recent advances in the field of geospatial technologies, IoT sensors, and artificial intelligence enable highly accurate modelling with digital twins that is highly useful in energy efficiency decision-making.
Consequently, this Special Issue on “Geospatial and Emerging Technologies for Sustainable Energy Efficiency” focuses on how geospatial and other emerging technologies can contribute to improvements to energy performance for buildings, infrastructure, and cities. The scope includes, but is not limited to, GIS and CIM for multi-scale energy analytics; BIM for building energy efficiency; IoT sensors for real-time energy monitoring; AI/GeoAI for predictive control, demand forecasting, and anomaly detection; and smart city platforms that integrate these layers to support low-carbon operations.
The purpose of this Special Issue is to advance interoperable methods, datasets, and case studies that evaluate sustainable energy efficiency outcomes and support their implementation in real-world practice.
Dr. Reda Yaagoubi
Guest Editor
Manuscript Submission Information
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Keywords
- geospatial technologies
- energy efficiency
- geographic information systems
- building information modelling
- city information modelling
- internet of things
- building energy modelling
- smart cities
- energy simulation
- sustainable energy
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