A Survey of Wind Power Ramp Forecasting

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.net/journal/epe
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"A Survey of Wind Power Ramp Forecasting"
written by Tinghui Ouyang, Xiaoming Zha, Liang Qin,
published by Energy and Power Engineering, Vol.5 No.4B, 2013

has been cited by the following article(s):

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[5]	Characterizing Wind Power Forecast Error Using Extreme Value Theory and Copulas IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3179697

[6]	Day‐ahead wind power ramp forecasting using an image‐based similarity search strategy IET Renewable Power Generation, 2022 DOI:10.1049/rpg2.12595

[7]	Wind power ramp event detection using a multi-parameter segmentation algorithm Energy Reports, 2021 DOI:10.1016/j.egyr.2021.08.137

[8]	Managing Multitype Capacity Resources for Frequency Regulation in Unit Commitment Integrated With Large Wind Ramping IEEE Transactions on Sustainable Energy, 2021 DOI:10.1109/TSTE.2020.3017231

[9]	An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load Energies, 2020 DOI:10.3390/en13246503

[10]	Energy Supply Forecasting of Wind Power for Agricultural Integrated Energy System 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2020 DOI:10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00148

[11]	Chaotic wind power time series prediction via switching data-driven modes Renewable Energy, 2020 DOI:10.1016/j.renene.2019.06.047

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[13]	Alerting to Rare Large-Scale Ramp Events in Wind Power Generation IEEE Transactions on Sustainable Energy, 2019 DOI:10.1109/TSTE.2018.2822807

[14]	Prediction of wind power ramp events based on residual correction Renewable Energy, 2019 DOI:10.1016/j.renene.2019.01.049

[15]	Estimating the Probability of Wind Power Ramp Events: A Distributionally Robust Approach 2019 IEEE Power & Energy Society General Meeting (PESGM), 2019 DOI:10.1109/PESGM40551.2019.8973995

[16]	Analyzing Wind Power Ramps for High Penetration of Variable Renewable Generation 2019 21st International Middle East Power Systems Conference (MEPCON), 2019 DOI:10.1109/MEPCON47431.2019.9007951

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[18]	Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing Neural Processing Letters, 2018 DOI:10.1007/s11063-018-9922-5

[19]	Smoothing ramp events in wind farm based on dynamic programming in energy internet Frontiers in Energy, 2018 DOI:10.1007/s11708-018-0593-8

[20]	Wind power ramp event detection with a hybrid neuro-evolutionary approach Neural Computing and Applications, 2018 DOI:10.1007/s00521-018-3707-7

[21]	Optimisation of time window size for wind power ramps prediction IET Renewable Power Generation, 2017 DOI:10.1049/iet-rpg.2016.0341

[22]	Model of selecting prediction window in ramps forecasting Renewable Energy, 2017 DOI:10.1016/j.renene.2017.02.035

[23]	Robust estimation of wind power ramp events with reservoir computing Renewable Energy, 2017 DOI:10.1016/j.renene.2017.04.016

[24]	Improving the prediction of wind power ramps using texture extraction techniques applied to atmospheric pressure fields International Journal of Data Science and Analytics, 2017 DOI:10.1007/s41060-017-0051-4

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[27]	Wind Power Ramps Driven by Windstorms and Cyclones Energies, 2017 DOI:10.3390/en10101475

[28]	Wind power variation identification using ramping behavior analysis Energy Procedia, 2017 DOI:10.1016/j.egypro.2017.11.075

[29]	Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data Energies, 2017 DOI:10.3390/en10111784

[30]	Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017 DOI:10.1109/SSCI.2017.8285421

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[32]	Risk assessment of wind power ramp events based on prospect theory 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2016 DOI:10.1109/APPEEC.2016.7779918

[33]	Influence of wind power ramp rates in short-time wind power forecast error for highly aggregated capacity 2016 51st International Universities Power Engineering Conference (UPEC), 2016 DOI:10.1109/UPEC.2016.8114094

[34]	Advances in Artificial Intelligence Lecture Notes in Computer Science, 2016 DOI:10.1007/978-3-319-44636-3_28

[35]	Wind power prediction interval estimation method using wavelet-transform neuro-fuzzy network Journal of Intelligent & Fuzzy Systems, 2015 DOI:10.3233/IFS-151944

[36]	ARIMA based statistical approach to predict wind power ramps 2015 IEEE Power & Energy Society General Meeting, 2015 DOI:10.1109/PESGM.2015.7286237

[37]	Dictionary learning for short-term prediction of solar PV production 2015 IEEE Power & Energy Society General Meeting, 2015 DOI:10.1109/PESGM.2015.7285999

[38]	Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network 2015 IEEE Symposium Series on Computational Intelligence, 2015 DOI:10.1109/SSCI.2015.105

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