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 Gu

Description

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.

Files

Institutions

Categories

Energy Efficiency, Sustainable Construction, Carbon Neutrality

Licence