Combined Approach for Short-Term Wind Power Forecasting Considering Meteorological Fluctuation and Feature Extraction

2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) ◽

10.1109/icpsasia48933.2020.9208615 ◽

2020 ◽

Author(s):

Lin Ye ◽

Jinlong Zhao ◽

Peng Lu ◽

Ming Pei ◽

Mei Chen ◽

...

Keyword(s):

Feature Extraction ◽

Combined Approach ◽

Wind Power Forecasting ◽

Power Forecasting

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Short-Term Wind Power Forecasting Method Based on Mode Decomposition and Feature Extraction

2019 22nd International Conference on Electrical Machines and Systems (ICEMS) ◽

10.1109/icems.2019.8922193 ◽

2019 ◽

Author(s):

Chuang LI ◽

Xiangyu KONG ◽

Xingguo WANG ◽

Feng ZHENG ◽

Zhengguang CHEN ◽

...

Keyword(s):

Feature Extraction ◽

Wind Power Forecasting ◽

Mode Decomposition ◽

Forecasting Method ◽

Power Forecasting

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Short-term wind power forecasting based on meteorological feature extraction and optimization strategy

Renewable Energy ◽

10.1016/j.renene.2021.11.072 ◽

2021 ◽

Author(s):

Peng Lu ◽

Lin Ye ◽

Ming Pei ◽

Yongning Zhao ◽

Binhua Dai ◽

...

Keyword(s):

Feature Extraction ◽

Optimization Strategy ◽

Wind Power Forecasting ◽

Power Forecasting

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Short-term Wind Power Forecasting Based on Variable Time Window and Feature Extraction

2019 IEEE Sustainable Power and Energy Conference (iSPEC) ◽

10.1109/ispec48194.2019.8974948 ◽

2019 ◽

Author(s):

Jingzhu Teng ◽

Xueqian Zhao ◽

Mengdi Qian ◽

Yekun Men ◽

Zhao Yu ◽

...

Keyword(s):

Feature Extraction ◽

Time Window ◽

Wind Power Forecasting ◽

Variable Time ◽

Power Forecasting

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Short-term wind power forecasting model based on multi-feature extraction and CNN-LSTM

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/702/1/012019 ◽

2021 ◽

Vol 702 (1) ◽

pp. 012019

Author(s):

Honghai Kuang ◽

Qian Guo ◽

Shengqing Li ◽

Hao Zhong

Keyword(s):

Feature Extraction ◽

Forecasting Model ◽

Wind Power Forecasting ◽

Model Based ◽

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 ◽

Gradient Boosting ◽

Ensemble Model ◽

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 ◽

Wavelet Neural Network ◽

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 ◽

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 ◽

New Approach ◽

Wind Power Forecasting ◽

Power Forecasting

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A Novel Hybrid Models Based on Gaussian Process Regression for Short-Term Wind Power Forecasting

10.1109/icsmd53520.2021.9670816 ◽

2021 ◽

Author(s):

Qingcheng Lin ◽

Xuhai Chen ◽

Hanwei Liu ◽

Guangyu Liu ◽

Xuefeng Li ◽

...

Keyword(s):

Gaussian Process ◽

Gaussian Process Regression ◽

Hybrid Models ◽

Wind Power Forecasting ◽

Power Forecasting

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Hybrid Approach for Short Term Wind Power Forecasting

2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT) ◽

10.1109/icccnt.2018.8494034 ◽

2018 ◽

Author(s):

Vasanth Reddy ◽

Samidha Mridul Verma ◽

Kusum Verma ◽

Rajesh Kumar

Keyword(s):

Hybrid Approach ◽

Wind Power Forecasting ◽

Power Forecasting

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