"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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[1] Influence of wind power ramp rates in short-time wind power forecast error for highly aggregated capacity
[2] Chaotic wind power time series prediction via switching data-driven modes
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[3] Managing Multitype Capacity Resources For Frequency Regulation In Unit Commitment Integrated With Large Wind Ramping
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[4] Bayesian Network Based Imprecise Probability Estimation Method for Wind Power Ramp Events
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[5] ENVIRONMENTAL MODEL ACCURACY IMPROVEMENT FRAMEWORK USING STATISTICAL TECHNIQUES AND A NOVEL TRAINING APPROACH
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[6] Deep learning architectures applied to wind time series multi-step forecasting
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[7] Wind Power Ramps Analysis for High Shares of Variable Renewable Generation in Power Systems
2020
[8] Prediction of Wind Power Ramp Events Based on Residual Correction
2019
[9] Ordinal Prediction using machine learning methodologies: Applications
2019
[10] Analyzing Wind Power Ramps for High Penetration of Variable Renewable Generation
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[11] Environmental extreme events detection: A survey
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[12] Estimating the Probability of Wind Power Ramp Events: A Distributionally Robust Approach
Conference Paper, 2019
[13] Wind power ramp event detection with a hybrid neuro-evolutionary approach
Neural Computing and Applications, 2018
[14] Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing
Neural Processing Letters, 2018
[15] Ensemble time series forecasting with applications in power systems and financial markets
2018
[16] Smoothing ramp events in wind farm based on dynamic programming in energy internet
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[17] New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems
2018
[18] Alerting to Rare Large-Scale Ramp Events in Wind Power Generation
2018
[19] Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques
2017
[20] Model of selecting prediction window in ramps forecasting
Renewable Energy, 2017
[21] Robust estimation of wind power ramp events with reservoir computing
Renewable Energy, 2017
[22] Improving the prediction of wind power ramps using texture extraction techniques applied to atmospheric pressure fields
International Journal of Data Science and Analytics, 2017
[23] A Hybrid Neuro-Evolutionary Algorithm for Wind Power Ramp Events Detection
Advances in Computational Intelligence, 2017
[24] Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction
Advances in Computational Intelligence, 2017
[25] Wind power variation identification using ramping behavior analysis
Energy Procedia, 2017
[26] Wind Power Ramps Driven by Windstorms and Cyclones
Energies, 2017
[27] Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data
Energies, 2017
[28] 风电功率爬坡事件作用下考虑时序特性的系统风险评估
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[29] Optimization of Time Window Size for Wind Power Ramps Prediction
IET Renewable Power Generation, 2016
[30] Data Mining via Association Rules for Power Ramps Detected by Clustering or Optimization
Transactions on Computational Science XXVIII, 2016
[31] Risk assessment of wind power ramp events based on prospect theory
2016
[32] Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines
Advances in Artificial Intelligence, 2016
[33] Impacto da circulação atmosférica nas rampas de produção eólica em Portugal
2016
[34] Ensemble time series forecasting with applications in renewable energy
2016
[35] ARIMA based statistical approach to predict wind power ramps
Power & Energy Society General Meeting, 2015 IEEE, 2015
[36] Dictionary learning for short-term prediction of solar PV production
Power & Energy Society General Meeting, 2015 IEEE, 2015
[37] Improving and enhancing NWP based wind power forecasts under Norwegian conditions
2015
[38] Wind power prediction interval estimation method using wavelet-transform neuro-fuzzy network
Journal of Intelligent & Fuzzy Systems, 2015
[39] Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network
Computational Intelligence, 2015 IEEE Symposium Series on, 2015
[40] Previsão de produção eólica com modelização de incertezas
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[41] Risk Assessment of Wind Power Ramp Event Considering Time-sequence Characteristic
2014
[42] The role of flexibility in generation expansion planning of power systems with a high degree of renewables & vehicle electrification
2014