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Il consumo di energia da fonti rinnovabili in Europa dal 2004 al 2019: uno studio basato sulla cluster analysis

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  • Bedetti, Alessandro

Abstract

This article aims to apply the statistical technique of hierarchical cluster analysis on a dataset in historical time series on the gross final consumption of energy from renewable sources in Europe from 2004 to 2019. The application of this method was very important for the creation of homogeneous groups with internal cohesion and external validity and to identify the different speeds with which EU countries have implemented their race towards the quotas established by Directive 2009/28 / EC of consumption of energy from renewable sources to be achieved in 2020.

Suggested Citation

  • Bedetti, Alessandro, 2022. "Il consumo di energia da fonti rinnovabili in Europa dal 2004 al 2019: uno studio basato sulla cluster analysis," MPRA Paper 112897, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:112897
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    More about this item

    Keywords

    Keywords: Energy transition; Cluster Analysis; Hierarchical methods; Dynamic Time Warping distance; Historical series;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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