Medium-term wind power forecasting based on multi-resolution multi-learner ensemble and adaptive model selection

Energy Conversion and Management ◽

10.1016/j.enconman.2020.112492 ◽

2020 ◽

Vol 206 ◽

pp. 112492 ◽

Cited By ~ 9

Author(s):

Chao Chen ◽

Hui Liu

Keyword(s):

Model Selection ◽

Wind Power ◽

Adaptive Model ◽

Medium Term ◽

Wind Power Forecasting ◽

Adaptive Model Selection ◽

Power Forecasting

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Multi-time series and -time scale modeling for wind speed and wind power forecasting part II: Medium-term and long-term applications

2015 International Conference on Renewable Energy Research and Applications (ICRERA) ◽

10.1109/icrera.2015.7418698 ◽

2015 ◽

Cited By ~ 3

Author(s):

Ilhami Colak ◽

Seref Sagiroglu ◽

Mehmet Yesilbudak ◽

Ersan Kabalci ◽

H. Ibrahim Bulbul

Keyword(s):

Time Series ◽

Wind Speed ◽

Wind Power ◽

Time Scale ◽

Medium Term ◽

Wind Power Forecasting ◽

Scale Modeling ◽

Power Forecasting

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Methodological framework for short-and medium-term energy, solar and wind power forecasting with stochastic-based machine learning approach to monetary and energy policy applications

Energy ◽

10.1016/j.energy.2021.120911 ◽

2021 ◽

pp. 120911

Author(s):

Tanveer Ahmad ◽

Dongdong Zhang ◽

Chao Huang

Keyword(s):

Machine Learning ◽

Wind Power ◽

Energy Policy ◽

Learning Approach ◽

Methodological Framework ◽

Medium Term ◽

Wind Power Forecasting ◽

Machine Learning Approach ◽

Term Energy ◽

Power Forecasting

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Minimizing asymmetric loss in medium-term wind power forecasting

Renewable Energy ◽

10.1016/j.renene.2015.03.049 ◽

2015 ◽

Vol 81 ◽

pp. 197-208 ◽

Cited By ~ 11

Author(s):

Carsten Croonenbroeck ◽

Georg Stadtmann

Keyword(s):

Wind Power ◽

Medium Term ◽

Asymmetric Loss ◽

Wind Power Forecasting ◽

Power Forecasting

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Combined model with secondary decomposition-model selection and sample selection for multi-step wind power forecasting

Applied Energy ◽

10.1016/j.apenergy.2019.114345 ◽

2020 ◽

Vol 261 ◽

pp. 114345 ◽

Cited By ~ 4

Author(s):

Zhuochun Wu ◽

Xiangjie Xia ◽

Liye Xiao ◽

Yilin Liu

Keyword(s):

Model Selection ◽

Wind Power ◽

Sample Selection ◽

Combined Model ◽

Wind Power Forecasting ◽

Decomposition Model ◽

Selection For ◽

Power Forecasting

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Application of grey theory and neural network in medium term wind power forecasting

2017 Chinese Automation Congress (CAC) ◽

10.1109/cac.2017.8243727 ◽

2017 ◽

Cited By ~ 1

Author(s):

Xiangxing Meng ◽

Wanyou Zhao ◽

Haitao Wang ◽

Yang Gao ◽

Hongyu Zhong ◽

...

Keyword(s):

Neural Network ◽

Wind Power ◽

Grey Theory ◽

Medium Term ◽

Wind Power Forecasting ◽

Power Forecasting

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Decomposed Threshold ARMAX Models for short- to medium-term wind power forecasting

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.07.253 ◽

2018 ◽

Vol 51 (13) ◽

pp. 49-54 ◽

Cited By ~ 4

Author(s):

C.E. Robles-Rodriguez ◽

D. Dochain

Keyword(s):

Wind Power ◽

Medium Term ◽

Wind Power Forecasting ◽

Power Forecasting

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A selection of time series models for short- to medium-term wind power forecasting

Journal of Wind Engineering and Industrial Aerodynamics ◽

10.1016/j.jweia.2014.11.014 ◽

2015 ◽

Vol 136 ◽

pp. 201-210 ◽

Cited By ~ 24

Author(s):

Carsten Croonenbroeck ◽

Daniel Ambach

Keyword(s):

Time Series ◽

Wind Power ◽

Time Series Models ◽

Medium Term ◽

Wind Power Forecasting ◽

Selection Of ◽

Power Forecasting

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Probabilistic wind power forecasting with online model selection and warped gaussian process

Energy Conversion and Management ◽

10.1016/j.enconman.2014.04.051 ◽

2014 ◽

Vol 84 ◽

pp. 649-663 ◽

Cited By ~ 27

Author(s):

Peng Kou ◽

Deliang Liang ◽

Feng Gao ◽

Lin Gao

Keyword(s):

Model Selection ◽

Gaussian Process ◽

Wind Power ◽

Wind Power Forecasting ◽

Power Forecasting

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Accurate medium-term wind power forecasting in a censored classification framework

Energy ◽

10.1016/j.energy.2014.06.013 ◽

2014 ◽

Vol 73 ◽

pp. 221-232 ◽

Cited By ~ 15

Author(s):

Carsten Croonenbroeck ◽

Christian Møller Dahl

Keyword(s):

Wind Power ◽

Medium Term ◽

Wind Power Forecasting ◽

Classification Framework ◽

Power Forecasting

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Development and Operational Status of Wind Power Forecasting System

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.133.366 ◽

2013 ◽

Vol 133 (4) ◽

pp. 366-372 ◽

Cited By ~ 4

Author(s):

Isao Aoki ◽

Ryoichi Tanikawa ◽

Nobuyuki Hayasaki ◽

Mitsuhiro Matsumoto ◽

Shigero Enomoto

Keyword(s):

Wind Power ◽

Wind Power Forecasting ◽

Forecasting System ◽

Power Forecasting

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