کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
977977 | 933230 | 2008 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bidding strategy with forecast technology based on support vector machine in the electricity market
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
فیزیک ریاضی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The participants in the electricity market are concerned very much with the market price evolution. Various technologies have been developed for price forecasting. The SVM (Support Vector Machine) has shown its good performance in market price forecasting. Two approaches for forming the market bidding strategies based on SVM are proposed. One is based on the price forecasting accuracy, with which the rejection risk is defined. The other takes into account the impact of the producer's own bid. The risks associated with the bidding are controlled by the parameter settings. The proposed approaches have been tested on a numerical example.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 387, Issue 15, 15 June 2008, Pages 3874-3881
Journal: Physica A: Statistical Mechanics and its Applications - Volume 387, Issue 15, 15 June 2008, Pages 3874-3881
نویسندگان
Ciwei Gao, Ettore Bompard, Roberto Napoli, Qiulan Wan, Jian Zhou,