کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7408268 | 1481436 | 2016 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A multiple quantile regression approach to the wind, solar, and price tracks of GEFCom2014
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
کسب و کار و مدیریت بین المللی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A multiple quantile regression approach to the wind, solar, and price tracks of GEFCom2014 A multiple quantile regression approach to the wind, solar, and price tracks of GEFCom2014](/preview/png/7408268.png)
چکیده انگلیسی
This paper proposes a generic framework for probabilistic energy forecasting, and discusses the application of the method to several tracks in the 2014 Global Energy Forecasting Competition (GEFCom2014). The proposed method uses a multiple quantile regression approach to predict a full distribution over possible future energy outcomes, uses the alternating direction method of multipliers to solve the optimization problems resulting from this quantile regression formulation efficiently, and uses a radial basis function network to capture the non-linear dependencies on the input data. For the GEFCom2014 competition, the approach proved general enough to obtain one of the top five ranks in three tracks, solar, wind, and price forecasting, and it was also ranked seventh in the final load forecasting track.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Forecasting - Volume 32, Issue 3, JulyâSeptember 2016, Pages 1094-1102
Journal: International Journal of Forecasting - Volume 32, Issue 3, JulyâSeptember 2016, Pages 1094-1102
نویسندگان
Romain Juban, Henrik Ohlsson, Mehdi Maasoumy, Louis Poirier, J. Zico Kolter,