Low-carbon optimal scheduling for distribution networks under supply and demand uncertainty

HIGHLIGHTS

• What: The simulation indicate that in comparison to Model 1 referenced in the article, the model proposed in this study has achieved a 32.9% reduction in comprehensive cost and a 19.2% decrease in carbon emission levels.
• Who: TYPE and collaborators from the Shanxi University, China have published the article: December 2024 10.3389/fphy.2024.1514628, in the Journal: (JOURNAL)
• How: The findings of this analysis are presented in Figure 5.
• Future: Future research could investigate the relationship between renewable energy consumption and its economic impact to achieve more . . .
  

   

  

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