کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5444808 | 1511113 | 2017 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
SVR based PV models for MPC based energy flow management
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The ever increasing penetration of renewable production can be used to lower the operational costs of households and districts. However, given its intermittent nature predicting their production in order to use it efficiently is mandatory. This article will discuss how photovoltaic production prediction can be addressed. Prediction algorithms based on support vector regression (SVR) technique are developed and compared to a classical persistence model benchmark. Prediction errors between 7 to 12% for SVR algorithms with different forecast solar irradiance accuracies are obtained, which is twice better compared to a classical persistence model (PM) benchmark. These models were integrated in a model predictive based battery management system in the scope of the European project AMBASSADOR.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Procedia - Volume 122, September 2017, Pages 133-138
Journal: Energy Procedia - Volume 122, September 2017, Pages 133-138
نویسندگان
M. Boegli, Y. Stauffer,