A practical model for single-step power prediction of grid-connected PV plant using artificial neural network

2011 IEEE PES Innovative Smart Grid Technologies, ISGT Asia 2011 Conference: Smarter Grid for Sustainable and Affordable Energy Future

Volumn , Issue , 2011, Pages

  Wang, Fei ^a   Mi, Zengqiang ^a   Su, Shi ^b   Zhang, Chengcheng ^c  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b Yunnan Electric Power Test and Research Institute Group Co Ltd   (China)

^c HEBEI UNIVERSITY   (China)

Author keywords

neural network; Photovoltaic plant; power prediction; solar radiation

Indexed keywords

BP NEURAL NETWORKS; CROSS VALIDATION; GRID-CONNECTED PHOTOVOLTAIC PLANTS; GRID-CONNECTED PV; INPUT VARIABLES; NEURAL NETWORK MODEL; OPERATING DATA; PHOTOVOLTAIC PLANT; POWER OUT PUT; POWER PREDICTIONS; PRACTICAL MODEL; PRE-TREATMENT; PREDICTIVE MODELS; PREDICTIVE VALUES; SCIENCE AND TECHNOLOGY PARKS; SINGLE-STEP; STATE SPACE; STEP-BY-STEP; YUNNAN POWER GRID;

NEURAL NETWORKS; SMART POWER GRIDS; SOLAR RADIATION; SUN;

PHOTOVOLTAIC EFFECTS;

EID: 84859833155     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISGT-Asia.2011.6167097     Document Type: Conference Paper

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