Adaptive robust polynomial regression for power curve modeling with application to wind power forecasting
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Title
Adaptive robust polynomial regression for power curve modeling with application to wind power forecasting
Authors
Keywords
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Journal
WIND ENERGY
Volume 19, Issue 12, Pages 2321-2336
Publisher
Wiley
Online
2016-04-28
DOI
10.1002/we.1985
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- (2014) IEEE TRANSACTIONS ON ENERGY CONVERSION
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- (2013) C. Carrillo et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A comprehensive review on wind turbine power curve modeling techniques
- (2013) M. Lydia et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Short-term forecasting of categorical changes in wind power with Markov chain models
- (2013) Megan Yoder et al. WIND ENERGY
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- Copula-based model for wind turbine power curve outlier rejection
- (2013) Yue Wang et al. WIND ENERGY
- Monitoring of wind farms’ power curves using machine learning techniques
- (2012) Antonino Marvuglia et al. APPLIED ENERGY
- Wind power forecasting uncertainty and unit commitment
- (2011) J. Wang et al. APPLIED ENERGY
- Current methods and advances in forecasting of wind power generation
- (2011) Aoife M. Foley et al. RENEWABLE ENERGY
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- A Robust Variable Forgetting Factor Recursive Least-Squares Algorithm for System Identification
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- On-line monitoring of power curves
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