Extreme wind power forecast error analysis considering its application in day‐ahead reserve capacity planning
Author:
Affiliation:
1. State Key Laboratory of Control and Simulation of Power System and Generation EquipmentDepartment of Electrical EngineeringTsinghua UniversityHaidian DistrictBeijing100084People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2018.5023
Reference21 articles.
1. International Energy Agency: ‘The power of transformation: wind sun and the economics of flexible power systems’ 2014 p.105
2. Reviews on uncertainty analysis of wind power forecasting
3. Wind Energy: Forecasting Challenges for Its Operational Management
4. Improved wind forecasts for wind power generation using the Eta model and MOS (Model Output Statistics) method
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