Determination method of insolation prediction with fuzzy and applying neural network for long-term ahead PV power output correction

IEEE Transactions on Sustainable Energy

Volumn 4, Issue 2, 2013, Pages 527-533

  Yona, Atsushi ^a   Senjyu, Tomonobu ^a   Funabashi, Toshihisa ^b   Kim, Chul Hwan ^c  

^a UNIVERSITY OF THE RYUKYUS   (Japan)

^b MEIDENSHA CORPORATION   (Japan)

^c Sungkyunkwan University   (South Korea)

Author keywords

Fuzzy theory; hourly forecast errors; neural network (NN); photovoltaic (PV) generated power forecasting; weather reported data

Indexed keywords

ALTERNATIVE ENERGY SOURCE; DETERMINATION METHODS; FORECAST ERRORS; FUZZY THEORY; METEOROLOGICAL CONDITION; PHOTOVOLTAIC SYSTEMS; POWER FORECASTING; WEATHER REPORTED DATA;

COMPUTER SIMULATION; INCIDENT SOLAR RADIATION; NEURAL NETWORKS; THERMOELECTRIC POWER;

WEATHER FORECASTING;

EID: 84875688511     PISSN: 19493029     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSTE.2013.2246591     Document Type: Review

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