Using clustering algorithms to characterise uncertain long-term decarbonisation pathways

Applied Energy(2020)

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摘要
•Representative pathways can be sought to characterise a larger pathway ensemble.•Clustering performance is sensitive to the distribution of pathways.•K-means is the most robust approach for pathway grouping.•Hierarchical clustering might perform better if pathway distribution is irregular.•Sectoral standardisation can reveal the trade-offs between metrics in each sector.
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关键词
Uncertainty,Decarbonisation pathways,Energy transition,Clustering analysis
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