Ultra-Short Term Prediction Model of Wind Power Generation Based on Hybrid Intelligent Method

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8482750 ◽

2018 ◽

Author(s):

Wei Dong ◽

Qiang Yang

Keyword(s):

Power Generation ◽

Prediction Model ◽

Wind Power Generation ◽

Term Prediction ◽

Short Term Prediction ◽

Hybrid Intelligent Method

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Research on the Short-term prediction model of wind power generation based on GIS

2016 China International Conference on Electricity Distribution (CICED) ◽

10.1109/ciced.2016.7576037 ◽

2016 ◽

Author(s):

Liu Huibin ◽

Qian Wenxiao ◽

Yang Qianqian ◽

Li Tianye ◽

Li Xiu

Keyword(s):

Power Generation ◽

Prediction Model ◽

Wind Power Generation ◽

Term Prediction ◽

Short Term Prediction

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Robust short-term prediction of wind power generation under uncertainty via statistical interpretation of multiple forecasting models

Energy ◽

10.1016/j.energy.2019.05.101 ◽

2019 ◽

Vol 180 ◽

pp. 387-397 ◽

Author(s):

Natapol Korprasertsak ◽

Thananchai Leephakpreeda

Keyword(s):

Power Generation ◽

Wind Power Generation ◽

Statistical Interpretation ◽

Forecasting Models ◽

Term Prediction ◽

Short Term Prediction

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LSTM Model Design for Short-Term Prediction of Wind Power Generation Using Actual Data from a Wind Condition Measuring Instrument

The Journal of Next-generation Convergence Technology Association ◽

10.33097/jncta.2021.05.06.1018 ◽

2021 ◽

Vol 5 (6) ◽

pp. 1018-1026

Author(s):

Robin Sun ◽

◽

Junghoon Yoo ◽

Junho Bang ◽

Je-Ho Song ◽

...

Keyword(s):

Power Generation ◽

Wind Power Generation ◽

Actual Data ◽

Wind Condition ◽

Model Design ◽

Measuring Instrument ◽

Term Prediction ◽

Short Term Prediction

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Software Design for Short-Term Prediction of Wind Power Generation and Electrical Load in Jilin

2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC) ◽

10.1109/imcec.2018.8469402 ◽

2018 ◽

Author(s):

Ding Wang ◽

Yu Shi ◽

Le Fang ◽

Chen Liu ◽

Xiangyu Lv

Keyword(s):

Power Generation ◽

Software Design ◽

Wind Power Generation ◽

Electrical Load ◽

Term Prediction ◽

Short Term Prediction

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Development of Short-Term Prediction System for Wind Power Generation Based on Multiple Observation Points

Sustainability in Energy and Buildings ◽

10.1007/978-3-642-03454-1_10 ◽

2009 ◽

pp. 89-98 ◽

Author(s):

Muhammad Khalid ◽

Andrey V. Savkin

Keyword(s):

Power Generation ◽

Wind Power Generation ◽

Prediction System ◽

Term Prediction ◽

Short Term Prediction

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Hourly-averaged solar plus wind power generation for Germany 2016: Long-term prediction, short-term forecasting, data mining and outlier analysis

Sustainable Cities and Society ◽

10.1016/j.scs.2020.102227 ◽

2020 ◽

Vol 60 ◽

pp. 102227

Author(s):

David A. Wood

Keyword(s):

Data Mining ◽

Power Generation ◽

Wind Power Generation ◽

Outlier Analysis ◽

Term Prediction ◽

Short Term Forecasting ◽

Long Term Prediction

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Short-term prediction model of photovoltaic power generation based on rough set-BP neural network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1871/1/012010 ◽

2021 ◽

Vol 1871 (1) ◽

pp. 012010

Author(s):

Xiaoling Ma ◽

Qingle Pang ◽

Qingsong Xie

Keyword(s):

Neural Network ◽

Power Generation ◽

Prediction Model ◽

Rough Set ◽

Bp Neural Network ◽

Photovoltaic Power ◽

Term Prediction ◽

Short Term Prediction

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Very short-term forecasting of wind power generation using hybrid deep learning model

Journal of Cleaner Production ◽

10.1016/j.jclepro.2021.126564 ◽

2021 ◽

Vol 296 ◽

pp. 126564

Author(s):

Md Alamgir Hossain ◽

Ripon K. Chakrabortty ◽

Sondoss Elsawah ◽

Michael J. Ryan

Keyword(s):

Power Generation ◽

Deep Learning ◽

Learning Model ◽

Wind Power Generation ◽

Short Term Forecasting ◽

Deep Learning Model

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Forecasting method of monthly wind power generation based on climate model and long short-term memory neural network

Global Energy Interconnection ◽

10.1016/j.gloei.2021.01.003 ◽

2020 ◽

Vol 3 (6) ◽

pp. 571-576 ◽

Author(s):

Rui Yin ◽

Dengxuan Li ◽

Yifeng Wang ◽

Weidong Chen

Keyword(s):

Neural Network ◽

Power Generation ◽

Climate Model ◽

Short Term Memory ◽

Wind Power Generation ◽

Term Memory ◽

Forecasting Method ◽

Long Short Term Memory

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Short-term prediction of wind power using EMD and chaotic theory

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2011.06.003 ◽

2012 ◽

Vol 17 (2) ◽

pp. 1036-1042 ◽

Author(s):

Xueli An ◽

Dongxiang Jiang ◽

Minghao Zhao ◽

Chao Liu

Keyword(s):

Term Prediction ◽

Short Term Prediction ◽

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