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] Avoiding Overconfidence in Predictions of Residential Energy Demand through Identification of the Persistence Forecast Effect
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[3] Day‐ahead wind power ramp forecasting using an image‐based similarity search strategy
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[4] Characterizing Wind Power Forecast Error Using Extreme Value Theory and Copulas
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[5] Intelligent multiperiod wind power forecast model using statistical and machine learning model
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[6] Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain
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[7] Wind power ramp event detection using a multi-parameter segmentation algorithm
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[8] New forecast tools to enhance the value of VRE on the electricity markets
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[9] New forecast tools to enhance the value of VRE on the electricity market: Deliverable D4. 9
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[10] A Novel Approach for the Power Ramping Metrics
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[11] Rüzgar Gücü Rampa Olaylarını En Aza İndirmek İçin Türkiye'de Kurulacak Rüzgar Enerjisi Santrallerinin Konumsal Dağılım Optimizasyonu
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[12] Managing Multitype Capacity Resources For Frequency Regulation In Unit Commitment Integrated With Large Wind Ramping
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[13] Bayesian Network Based Imprecise Probability Estimation Method for Wind Power Ramp Events
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[14] ENVIRONMENTAL MODEL ACCURACY IMPROVEMENT FRAMEWORK USING STATISTICAL TECHNIQUES AND A NOVEL TRAINING APPROACH
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[15] Deep learning architectures applied to wind time series multi-step forecasting
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[16] Wind Power Ramps Analysis for High Shares of Variable Renewable Generation in Power Systems
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[17] An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load
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[18] Energy Supply Forecasting of Wind Power for Agricultural Integrated Energy System
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[19] Chaotic wind power time series prediction via switching data-driven modes
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[20] Environmental extreme events detection: A survey
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[21] Estimating the Probability of Wind Power Ramp Events: A Distributionally Robust Approach
Conference Paper, 2019
[22] Analyzing Wind Power Ramps for High Penetration of Variable Renewable Generation
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[23] Prediction of Wind Power Ramp Events Based on Residual Correction
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[24] Ordinal Prediction using machine learning methodologies: Applications
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[25] Wind power ramp event detection with a hybrid neuro-evolutionary approach
Neural Computing and Applications, 2018
[26] Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing
Neural Processing Letters, 2018
[27] Ensemble time series forecasting with applications in power systems and financial markets
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[28] Smoothing ramp events in wind farm based on dynamic programming in energy internet
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[29] New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems
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[30] Alerting to Rare Large-Scale Ramp Events in Wind Power Generation
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[31] Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques
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[32] Model of selecting prediction window in ramps forecasting
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[33] Robust estimation of wind power ramp events with reservoir computing
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[34] Improving the prediction of wind power ramps using texture extraction techniques applied to atmospheric pressure fields
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[35] A Hybrid Neuro-Evolutionary Algorithm for Wind Power Ramp Events Detection
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[36] Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction
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[37] Wind power variation identification using ramping behavior analysis
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[38] Wind Power Ramps Driven by Windstorms and Cyclones
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[39] Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data
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[40] 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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[41] Optimization of Time Window Size for Wind Power Ramps Prediction
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[42] Data Mining via Association Rules for Power Ramps Detected by Clustering or Optimization
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[43] Risk assessment of wind power ramp events based on prospect theory
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[44] Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines
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[45] Impacto da circulação atmosférica nas rampas de produção eólica em Portugal
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[46] Ensemble time series forecasting with applications in renewable energy
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[47] ARIMA based statistical approach to predict wind power ramps
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[48] Dictionary learning for short-term prediction of solar PV production
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[49] Improving and enhancing NWP based wind power forecasts under Norwegian conditions
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[50] Wind power prediction interval estimation method using wavelet-transform neuro-fuzzy network
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[51] Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network
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[52] Previsão de produção eólica com modelização de incertezas
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[53] Risk Assessment of Wind Power Ramp Event Considering Time-sequence Characteristic
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[54] The role of flexibility in generation expansion planning of power systems with a high degree of renewables & vehicle electrification
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[55] Spatial Distribution Optimization of Wind Power Plants to be Installed in Turkey to Minimize Wind Power Ramp Events
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