Low-carbon optimal scheduling of integrated energy systems based on multi-strategy ameliorated goose algorithm and green certificate-carbon trading coordination
- DOI
- 10.1371/journal.pone.0331927
- Published
- 2025-09-12
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0331927,
title = {Low-carbon optimal scheduling of integrated energy systems based on multi-strategy ameliorated goose algorithm and green certificate-carbon trading coordination},
author = {Chengcheng Ding and Yun Zhu},
year = {2025},
journal = {PLOS One},
doi = {10.1371/journal.pone.0331927},
url = {https://doi.org/10.1371/journal.pone.0331927}
}RIS
TY - JOUR TI - Low-carbon optimal scheduling of integrated energy systems based on multi-strategy ameliorated goose algorithm and green certificate-carbon trading coordination AU - Chengcheng Ding AU - Yun Zhu PY - 2025 JO - PLOS One DO - 10.1371/journal.pone.0331927 UR - https://doi.org/10.1371/journal.pone.0331927 ER -
APA
Ding, C., & Zhu, Y. (2025). Low-carbon optimal scheduling of integrated energy systems based on multi-strategy ameliorated goose algorithm and green certificate-carbon trading coordination. PLOS One. https://doi.org/10.1371/journal.pone.0331927
Source records
- crossref · retrieved 2026-09-26T22:05:30.603Z