MULTIVARIATE TECHNIQUES FOR THE ANALYSIS OF PARTIAL EQUILIBRIUM ENERGY MODELS RESULTS (Articolo in rivista)

Type
Label
  • MULTIVARIATE TECHNIQUES FOR THE ANALYSIS OF PARTIAL EQUILIBRIUM ENERGY MODELS RESULTS (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cosmi C; Di Leo S; Macchiato M; Ragosta M (2008)
    MULTIVARIATE TECHNIQUES FOR THE ANALYSIS OF PARTIAL EQUILIBRIUM ENERGY MODELS RESULTS
    in Fresenius environmental bulletin; Parlar Scientific Publications (PSP), Freising (Germania)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cosmi C; Di Leo S; Macchiato M; Ragosta M (literal)
Pagina inizio
  • 1391 (literal)
Pagina fine
  • 1402 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.psp-parlar.de/details_feb_afs_.asp?typ=feb&datum=15.09.2008&jahr=2008 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 17 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 11 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 9b (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • \"[Cosmi, Carmelina; Ragosta, Maria] CNR, IMAA, I-85050 Tito, PZ, Italy; [Macchiato, Maria] Univ Naples Federico 2, Dept Phys Sci, I-80126 Naples, Italy; [Cosmi, Carmelina; Di Leo, Senatro; Macchiato, Maria] CNR, Natl Inst Phys Matter, I-80126 Naples, Italy; [Di Leo, Senatro; Ragosta, Maria] Univ Basilicata, Dept Environm Engn & Phys, I-85100 Potenza, Italy (literal)
Titolo
  • MULTIVARIATE TECHNIQUES FOR THE ANALYSIS OF PARTIAL EQUILIBRIUM ENERGY MODELS RESULTS (literal)
Abstract
  • In this paper multivariate statistical techniques are used to analyze the data output of partial equilibrium energy models developed in the framework of the NEEDS Project, with the aim of emphasising their informational content and reducing redundancies. In particular, Cluster Analysis and Principal Component Analysis are applied to characterise final energy consumption and CO2 emission by country for two different scenarios (Business as Usual - BAU and CO2_450ppmv), and with reference to years 2000, 2015 and 2050. The overall objective is to set up a general applicable procedure for characterizing data correlation structure and identifying suited indicators, in order to devise advanced tools for supporting decision making processes as well as for assessino, the sustainability of energy-environmental strategies. (literal)
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