Hybrid neuro-fuzzy evolutionary approach for short-term wind power forecasting

2012 16th IEEE Mediterranean Electrotechnical Conference ◽

10.1109/melcon.2012.6196427 ◽

2012 ◽

Cited By ~ 2

Author(s):

G. J. Osorio ◽

J. C. O. Matias ◽

H. M. I. Pousinho ◽

J. P. S. Catalao

Keyword(s):

Wind Power ◽

Evolutionary Approach ◽

Short Term ◽

Wind Power Forecasting ◽

Neuro Fuzzy ◽

Power Forecasting

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SVM Based Neuro Fuzzy Model for Short Term Wind Power Forecasting

National Academy Science Letters ◽

10.1007/s40009-016-0521-6 ◽

2016 ◽

Vol 40 (2) ◽

pp. 131-134 ◽

Cited By ~ 3

Author(s):

V. Ranganayaki ◽

S. N. Deepa

Keyword(s):

Wind Power ◽

Fuzzy Model ◽

Short Term ◽

Wind Power Forecasting ◽

Neuro Fuzzy ◽

Power Forecasting

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Neuro-fuzzy networks for short-term wind power forecasting

2010 International Conference on Power System Technology ◽

10.1109/powercon.2010.5666697 ◽

2010 ◽

Cited By ~ 3

Author(s):

Junrong Xia ◽

Pan Zhao ◽

Yiping Dai

Keyword(s):

Wind Power ◽

Short Term ◽

Wind Power Forecasting ◽

Neuro Fuzzy ◽

Power Forecasting

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Short term wind power forecasting using adaptive neuro-fuzzy inference systems

2007 Australasian Universities Power Engineering Conference ◽

10.1109/aupec.2007.4548099 ◽

2007 ◽

Cited By ~ 13

Author(s):

Peter L. Johnson ◽

Michael Negnevitsky ◽

Kashem M. Muttaqi

Keyword(s):

Wind Power ◽

Fuzzy Inference ◽

Fuzzy Inference Systems ◽

Short Term ◽

Wind Power Forecasting ◽

Neuro Fuzzy ◽

Inference Systems ◽

Power Forecasting

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Wavelet Decomposition and Neuro-Fuzzy Hybrid System Applied to Short-Term Wind Power Forecasting

Modelling, Identification, and Control ◽

10.2316/p.2010.675-083 ◽

2010 ◽

Author(s):

L.A. Fernandez-Jimenez ◽

I.J. Ramirez-Rosado ◽

B. Abebe ◽

M. Mendoza-Villena

Keyword(s):

Wind Power ◽

Hybrid System ◽

Wavelet Decomposition ◽

Short Term ◽

Wind Power Forecasting ◽

Neuro Fuzzy ◽

Power Forecasting

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A neuro-fuzzy approach with harmony search optimization for short-term wind power forecasting

International Journal of Energy and Statistics ◽

10.1142/s2335680414500069 ◽

2014 ◽

Vol 02 (02) ◽

pp. 71-87 ◽

Cited By ~ 2

Author(s):

Arash Miranian ◽

Majid Abdollahzade

Keyword(s):

Wind Power ◽

Harmony Search ◽

Fuzzy Approach ◽

Short Term ◽

Wind Power Forecasting ◽

Search Optimization ◽

Neuro Fuzzy ◽

Power Forecasting

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A novel hybrid methodology for short-term wind power forecasting based on adaptive neuro-fuzzy inference system

Renewable Energy ◽

10.1016/j.renene.2016.10.074 ◽

2017 ◽

Vol 103 ◽

pp. 620-629 ◽

Cited By ~ 47

Author(s):

Jinqiang Liu ◽

Xiaoru Wang ◽

Yun Lu

Keyword(s):

Wind Power ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Short Term ◽

Inference System ◽

Wind Power Forecasting ◽

Neuro Fuzzy ◽

Hybrid Methodology ◽

Power Forecasting

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An Ensemble Model for Short-Term Wind Power Forecasting using Deep Learning and Gradient Boosting Algorithms

2020 21st National Power Systems Conference (NPSC) ◽

10.1109/npsc49263.2020.9331902 ◽

2020 ◽

Author(s):

Devesh Kumar ◽

Rishabh Abhinav ◽

Naran Pindoriya

Keyword(s):

Deep Learning ◽

Wind Power ◽

Gradient Boosting ◽

Ensemble Model ◽

Short Term ◽

Wind Power Forecasting ◽

Boosting Algorithms ◽

Power Forecasting

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Very-short term wind power forecasting through Adaptive Wavelet Neural Network

2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE) ◽

10.1109/pestse.2016.7516513 ◽

2016 ◽

Author(s):

M. Nandana Jyothi ◽

P.V. Ramana Rao

Keyword(s):

Neural Network ◽

Wind Power ◽

Wavelet Neural Network ◽

Short Term ◽

Adaptive Wavelet ◽

Wind Power Forecasting ◽

Power Forecasting

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A novel ultra-short term wind power forecasting intelligence system based on hybrid neural network

Materials Today Proceedings ◽

10.1016/j.matpr.2021.07.336 ◽

2021 ◽

Author(s):

R. Kaja Bantha Navas ◽

S. Prakash

Keyword(s):

Neural Network ◽

Wind Power ◽

Short Term ◽

Hybrid Neural Network ◽

Wind Power Forecasting ◽

Intelligence System ◽

Power Forecasting

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Deep Learning Ensemble Based New Approach for Very Short-Term Wind Power Forecasting

2020 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm41954.2020.9281473 ◽

2020 ◽

Author(s):

Dan A. Rosa de Jesus ◽

Paras Mandal ◽

Yuan-Kang Wu ◽

Tomonobu Senjyu

Keyword(s):

Deep Learning ◽

Wind Power ◽

Short Term ◽

New Approach ◽

Wind Power Forecasting ◽

Power Forecasting

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