Development of algorithm for day ahead PV generation forecasting using data mining method

Midwest Symposium on Circuits and Systems

Volumn , Issue , 2011, Pages

  Kang, Min Cheol ^a   Sohn, Jin Man ^b   Park, Jong Young ^b   Lee, Song Keun ^c   Yoon, Yong Tae ^a  

^a Seoul National University   (South Korea)

^b LS Industrial Systems Co Ltd   (South Korea)

^c Jeonju University   (South Korea)

Author keywords

database of solar radiation patterns; K means clustering technique; PV generation forecasting algorithm; PV generation plan

Indexed keywords

DATA MINING METHODS; GENERATION SCHEDULES; K-MEANS CLUSTERING TECHNIQUES; PHOTOVOLTAICS; PV GENERATION; PV MODULES; PV POWER GENERATION; RENEWABLE ENERGY DEVELOPMENT;

FORECASTING; SOLAR RADIATION; SUN;

CLUSTERING ALGORITHMS;

EID: 80053626157     PISSN: 15483746     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MWSCAS.2011.6026333     Document Type: Conference Paper

References (7)

1. Aristidis Likas, Nikos Vlassis, Jakob J. Verbeek, "The global k-means clustering algorithm", Pattern Recognition, The Jounal of the Pattern Recognition Society, March 2002
2. Khaled Aisabti, Sanjay Ranka, Vineet Singh, "An Efficient K-Means Clustering Algorithm", First Workshop on High-Performance Data, Information Technology Lab(ITL) of Hitachi America, Ltd. 1998.
3. Warren Tennant, "Applications of ensemble forecasting products for medium-range forecasts", Research Group for Seasonal Climate Studies-South African Weather Bureau.
4. Jea-Shik Park, Myong-Ok, Se-June Oh, Hee-Han Yoo, Jin-Cil Park, Joo-Shik Ha, "A Study on the prediction of photovoltaic generation system power", Journal of the korean society of marine engineers, 2003.
5. Foyo-Moreno, I. Alados, FJ. Olmo, L.Alados-Arboledas, "The influence of cloudiness on UV global irradiance", Agricultural and Forest Meteorology, 2003.
6. th International Conference on Machine Learning, 1998.
7. Takae Shimada, Kosuke Kurokawa, "Grid-connected photovoltaic systems with battery storages control based on insolation forecasting using weather forecast", Renewable Energy 2006 Proceedings, 2006.