Balancing economic growth and carbon peaking in China: an integrated LSTM-NSGA-III framework for sustainable energy transitions

The urgent need to reconcile economic development with climate commitments presents a critical policy dilemma for emerging economies. This study proposes a novel decision-support framework integrating Long Short-Term Memory (LSTM) neural networks with the Non-dominated Sorting Genetic Algorithm III...

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Bibliographic Details
Published in:Environmental and Sustainability Indicators
Main Authors: Xin-Bo Zhang, Yi-Jun Lou, Jing-Ran Yang, Yang Zhang, Cheng-Liang Wu
Format: Article
Language:English
Published: Elsevier 2025-09-01
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665972725002053