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

Author

Min-Cheol Kang ; Jin-Man Sohn ; Jong-young Park ; Song-Keun Lee ; Yong-Tae Yoon

Author_Institution

Dept. of Electr. Eng., Seoul Nat. Univ., Seoul, South Korea

fYear

2011

fDate

7-10 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

In this paper, we develop an algorithm for PV(Photo Voltaic) generation forecasting on the day before. In this algorithm, we build database of solar radiation patterns by analyzing past 5 years data from the weather center but deal with February data only. Therefore, we can estimate the amount of PV power generation forecasting in February from this algorithm. This algorithm will facilitate the renewable energy development and give useful information for RES providers to manage their RES power generation schedule. We hope our proposal could help the PV module providers effectively manage their PV generation plan.

Keywords

data mining; photovoltaic power systems; power generation planning; renewable energy sources; PV generation forecasting; RES power generation schedule; data mining method; power generation planning; renewable energy development; solar radiation patterns; weather center; Clouds; Equations; K-means clustering technique; PV generation forecasting algorithm; PV generation plan; database of solar radiation patterns;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (MWSCAS), 2011 IEEE 54th International Midwest Symposium on

Conference_Location

Seoul

ISSN

1548-3746

Print_ISBN

978-1-61284-856-3

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2011.6026333

Filename

6026333