Work

The Go-to-Market Game Changer in the Low-Carbon Energy Industry: Generative Pre-Transformer and Its Potential for Improving Efficiency and Sustainability

Year: 2025

Type: article

Source: IEEE Systems Man and Cybernetics Magazine

DOI: 10.1109/msmc.2024.3440569

Authors: Rui Wang, Chunyue Song, Chaojie Li, Yi Wang, Zhao Yang Dong

Institutions: Ningbo University, Zhejiang University, UNSW Sydney, University of Hong Kong, City University of Hong Kong

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funders: Ningbo University, Australian Research Council

Awards: ARC Research Hub for Integrated Energy Storage Solutions, G2333175697, Graph Neural Networks for Efficient Decision-making towards Future Grids, Switching Dynamics Approach for Distributed Global Optimisation , Accelerated Finite-time Learning and Control in Cyber-Physical Systems

OpenAlex ID: W4409581311

FWCI: 0.408

Cites: 30

Cited by: 1

Related to: 10