Presentation | 2012-03-09 Short Term PV Prediction Using Committee Kernel Adaptive Filters Yuichiro YONEDA, Toshihisa TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We study short term power prediction of photovoltaic (PV) using data acquired from the PV panels. PV power out puts are usually unstable and nonlinear time series data. Besides PV outputs greatly vary depending on the weather. Therefore, PV power prediction should be made adaptivly and should consider the change of weather. To this end, we propose a system that committee of adaptive filters which have different properties respectively to consider charactristics of PV outputs. Since the proposed method has linear and nonlinear properties, it is expected that the proposed method tracks PV outputs adequately. By numerical experiments, we compare prediction performance of a sole adaptive filter to that of the proposed committee. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | photovoltaic power generation / photovoltaic system power forecasting / adaptive filter / kernel methods |
Paper # | CAS2011-162,SIP2011-182,CS2011-154 |
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Conference Information | |
Committee | CAS |
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Conference Date | 2012/3/1(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Circuits and Systems (CAS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Short Term PV Prediction Using Committee Kernel Adaptive Filters |
Sub Title (in English) | |
Keyword(1) | photovoltaic power generation |
Keyword(2) | photovoltaic system power forecasting |
Keyword(3) | adaptive filter |
Keyword(4) | kernel methods |
1st Author's Name | Yuichiro YONEDA |
1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology() |
2nd Author's Name | Toshihisa TANAKA |
2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology |
Date | 2012-03-09 |
Paper # | CAS2011-162,SIP2011-182,CS2011-154 |
Volume (vol) | vol.111 |
Number (no) | 465 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |