Constructing technology-driven carbon-neutral pathways for the energy sector of public buildings based on agentic AI
Abstract
This dataset contains partial raw data from a study on AI-driven carbon neutrality technology pathways for public buildings. It includes technologies identified through large models that can reduce emissions from building energy systems, along with scenario construction, DSN traceability, and core metrics. This data supports the research theme of evolutionary processes in technology pathway development.
Fields of Study & Subjects
Building Energy and Comfort Optimization
Building energy efficiency and sustainability
Integrated Energy Systems Optimization
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 4 March 2026
- Language
- EN
- Document type
- Dataset