Solar Power Prediction Based on Satellite Images and Support Vector Machine

IEEE Transactions on Sustainable Energy

Volumn 7, Issue 3, 2016, Pages 1255-1263

  Jang, Han Seung ^a   Bae, Kuk Yeol ^a   Park, Hong Shik ^a   Sung, Dan Keun ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Forecasting; Irradiance; Machine learning; Photovoltaic; Prediction; Satellite images; Solar power; Support vector machine

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; IMAGE COMPRESSION; LEARNING SYSTEMS; NEURAL NETWORKS; SATELLITES; SOLAR ENERGY; SOLAR POWER GENERATION; SUPPORT VECTOR MACHINES; VECTORS;

ARTIFICIAL NEURAL NETWORK MODELS; ATMOSPHERIC MOTION VECTORS; IRRADIANCE; METEOROLOGICAL CONDITION; PHOTOVOLTAIC; PREDICTION ACCURACY; SATELLITE IMAGES; TIME SERIES MODELING;

SOLAR POWER SATELLITES;

EID: 84976488550     PISSN: 19493029     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSTE.2016.2535466     Document Type: Article

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