Forecasting of PV Power Output Based on SupportVector Regression and Fuzzy Inference Approach
碩士 === 國立成功大學 === 電機工程學系碩博士班 === 101 === This thesis uses support vector regression (SVR) and fuzzy inference method for one-day ahead forecasting of photovoltaic (PV) power output. SVR employed in this thesis has been successfully applied to data classification and regression analysis. It uses the...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/39723167198812380633 |