Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble

Proceedings of the 26th AAAI Conference on Artificial Intelligence, AAAI 2012

Volumn , Issue , 2012, Pages 274-280

  Chakraborty, Prithwish ^a,b   Marwah, Manish ^c   Arlitt, Martin ^c   Ramakrishnan, Naren ^a,b  

^a Virginia Polytechnic Institute and State University   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^c HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BARIUM COMPOUNDS; SOLAR POWER GENERATION; WEATHER FORECASTING;

BAYESIAN; ENERGY OUTPUT; FINE GRAINED; PHOTOVOLTAICS; POWER GRIDS; POWER SOURCES; PV GENERATION; RENEWABLE POWER; SOLAR PHOTOVOLTAICS; SOLAR PVS;

WIND POWER;

EID: 84906808643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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