Energy and Power Engineering

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org
"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] A Novel Approach for the Power Ramping Metrics
2021
[3] Managing Multitype Capacity Resources For Frequency Regulation In Unit Commitment Integrated With Large Wind Ramping
2020
[4] Bayesian Network Based Imprecise Probability Estimation Method for Wind Power Ramp Events
2020
[5] ENVIRONMENTAL MODEL ACCURACY IMPROVEMENT FRAMEWORK USING STATISTICAL TECHNIQUES AND A NOVEL TRAINING APPROACH
2020
[6] Deep learning architectures applied to wind time series multi-step forecasting
2020
[7] Wind Power Ramps Analysis for High Shares of Variable Renewable Generation in Power Systems
2020
[8] An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load
2020
[9] Energy Supply Forecasting of Wind Power for Agricultural Integrated Energy System
2020
[10] Chaotic wind power time series prediction via switching data-driven modes
2020
[11] Environmental extreme events detection: A survey
2019
[12] Estimating the Probability of Wind Power Ramp Events: A Distributionally Robust Approach
Conference Paper, 2019
[13] Analyzing Wind Power Ramps for High Penetration of Variable Renewable Generation
2019
[14] Prediction of Wind Power Ramp Events Based on Residual Correction
2019
[15] Ordinal Prediction using machine learning methodologies: Applications
2019
[16] Wind power ramp event detection with a hybrid neuro-evolutionary approach
Neural Computing and Applications, 2018
[17] Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing
Neural Processing Letters, 2018
[18] Ensemble time series forecasting with applications in power systems and financial markets
2018
[19] Smoothing ramp events in wind farm based on dynamic programming in energy internet
2018
[20] New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems
2018
[21] Alerting to Rare Large-Scale Ramp Events in Wind Power Generation
2018
[22] Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques
2017
[23] Model of selecting prediction window in ramps forecasting
Renewable Energy, 2017
[24] Robust estimation of wind power ramp events with reservoir computing
Renewable Energy, 2017
[25] Improving the prediction of wind power ramps using texture extraction techniques applied to atmospheric pressure fields
International Journal of Data Science and Analytics, 2017
[26] A Hybrid Neuro-Evolutionary Algorithm for Wind Power Ramp Events Detection
Advances in Computational Intelligence, 2017
[27] Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction
Advances in Computational Intelligence, 2017
[28] Wind power variation identification using ramping behavior analysis
Energy Procedia, 2017
[29] Wind Power Ramps Driven by Windstorms and Cyclones
Energies, 2017
[30] Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data
Energies, 2017
[31] 风电功率爬坡事件作用下考虑时序特性的系统风险评估
电力自动化设备, 2016
[32] Optimization of Time Window Size for Wind Power Ramps Prediction
IET Renewable Power Generation, 2016
[33] Data Mining via Association Rules for Power Ramps Detected by Clustering or Optimization
Transactions on Computational Science XXVIII, 2016
[34] Risk assessment of wind power ramp events based on prospect theory
2016
[35] Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines
Advances in Artificial Intelligence, 2016
[36] Impacto da circulação atmosférica nas rampas de produção eólica em Portugal
2016
[37] Ensemble time series forecasting with applications in renewable energy
2016
[38] ARIMA based statistical approach to predict wind power ramps
Power & Energy Society General Meeting, 2015 IEEE, 2015
[39] Dictionary learning for short-term prediction of solar PV production
Power & Energy Society General Meeting, 2015 IEEE, 2015
[40] Improving and enhancing NWP based wind power forecasts under Norwegian conditions
2015
[41] Wind power prediction interval estimation method using wavelet-transform neuro-fuzzy network
Journal of Intelligent & Fuzzy Systems, 2015
[42] Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network
Computational Intelligence, 2015 IEEE Symposium Series on, 2015
[43] Previsão de produção eólica com modelização de incertezas
Dissertation, Open Repository of the University of Porto, 2014
[44] Risk Assessment of Wind Power Ramp Event Considering Time-sequence Characteristic
2014
[45] The role of flexibility in generation expansion planning of power systems with a high degree of renewables & vehicle electrification
2014
[46] Rüzgar Gücü Rampa Olaylarını En Aza İndirmek İçin Türkiye'de Kurulacak Rüzgar Enerjisi Santrallerinin Konumsal Dağılım Optimizasyonu
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