Constructing technology-driven carbon-neutral pathways for the energy sector of public buildings based on agentic AI
Published: 4 March 2026| Version 1 | DOI: 10.17632/dgds6f3c2j.1
Contributor:
Fu GuDescription
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.
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Institutions
- Zhejiang UniversityZhejiang, Hangzhou
Categories
Energy Efficiency, Sustainable Construction, Carbon Neutrality