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A Multi-model Combination Approach for Probabilistic Wind Power
  Forecasting

A Multi-model Combination Approach for Probabilistic Wind Power Forecasting

IEEE Transactions on Sustainable Energy (IEEE TSE), 2017
13 February 2017
You Lin
Ming Yang
C. Wan
Jianhui Wang
Yonghua Song
ArXiv (abs)PDFHTML

Papers citing "A Multi-model Combination Approach for Probabilistic Wind Power Forecasting"

3 / 3 papers shown
Tube Loss based Deep Networks For Improving the Probabilistic Forecasting of Wind Speed
Tube Loss based Deep Networks For Improving the Probabilistic Forecasting of Wind Speed
Pritam Anand
Aadesh Minz
Asish Joel
235
0
0
23 May 2025
CRPS Learning
CRPS LearningJournal of Econometrics (JE), 2021
Jonathan Berrisch
F. Ziel
377
34
0
01 Feb 2021
An Evolutionary Deep Learning Method for Short-term Wind Speed
  Prediction: A Case Study of the Lillgrund Offshore Wind Farm
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm
Mehdi Neshat
M. M. Nezhad
Ehsan Abbasnejad
L. B. Tjernberg
D. Garcia
Bradley Alexander
Markus Wagner
108
9
0
21 Feb 2020
1
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