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...
| Published in: | Environmental and Sustainability Indicators |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972725002053 |
