Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method
Mingjian Cui(The University of Texas at Dallas), Bri‐Mathias Hodge(National Renewable Energy Laboratory), Deping Ke(Wuhan University), Yuanzhang Sun(Wuhan University), Jie Zhang(University of Malaya), Di Gan(Wuhan University)
Cited by 166
Related Papers
Net-zero emissions energy systems
|Science|2018|2.3k
Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation
|Renewable Energy|2011|338
Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond
|IEEE/CAA Journal of Automatica Sinica|2016|338
A data-driven multi-model methodology with deep feature selection for short-term wind forecasting
|Applied Energy|2017|315
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization
|IEEE Transactions on Cybernetics|2014|313