Big data techniques for supporting accurate predictions of energy production from renewable sources

ACM International Conference Proceeding Series

Volumn 0, Issue CONFCODENUMBER, 2015, Pages 62-71

  Ceci, Michelangelo ^a   Corizzo, Roberto ^a   Fumarola, Fabio ^a   Ianni, Michele ^b   Malerba, Donato ^a   Maria, Gaspare ^c   Masciari, Elio ^d   Oliverio, Marco ^d   Rashkovska, Aleksandra ^a  

^a UNIVERSITY OF BARI   (Italy)

^b UNIVERSITY OF CALABRIA   (Italy)

^c GFM Integration   (Italy)

^d ICAR CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; INFORMATION MANAGEMENT; LEARNING ALGORITHMS; MACHINE LEARNING; NEURAL NETWORKS;

ACCURATE PREDICTION; DATA ANALYSIS TECHNIQUES; DISTRIBUTED SYSTEMS; ENERGY PRODUCTION PLANTS; ENERGY PRODUCTIONS; RENEWABLE ENERGIES; TRADITIONAL APPROACHES; WEATHER PREDICTION;

FORECASTING;

EID: 85007505126     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2790755.2790762     Document Type: Conference Paper

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