Related references
Note: Only part of the references are listed.Monte Carlo power comparison of seven most commonly used heteroscedasticity tests
Stanislaus S. Uyanto
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2022)
On shrinkage estimation for balanced loss functions
Eric Marchand et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2020)
Wind turbine power curve modeling for reliable power prediction using monotonic regression
Mehrdad Mehrjoo et al.
RENEWABLE ENERGY (2020)
A parametric model for wind turbine power curves incorporating environmental conditions
Yves-Marie Saint-Drenan et al.
RENEWABLE ENERGY (2020)
Energy, exergy, and economic analyses of an innovative energy storage system; liquid air energy storage (LAES) combined with high-temperature thermal energy storage (HTES)
Mohammad Hossein Nabat et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Wind Power Curve Modeling and Wind Power Forecasting With Inconsistent Data
Yun Wang et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2019)
Comparison of advanced non-parametric models for wind turbine power curves
Ravi Kumar Pandit et al.
IET RENEWABLE POWER GENERATION (2019)
Global estimations of wind energy potential considering seasonal air density changes
Alain Ulazia et al.
ENERGY (2019)
Credibility estimators with dependence structure over risks and time under balanced loss function
Qiang Zhang et al.
STATISTICA NEERLANDICA (2018)
Modeling wind-turbine power curve: A data partitioning and mining approach
Tinghui Ouyang et al.
RENEWABLE ENERGY (2017)
Development of an enhanced parametric model for wind turbine power curve
Ehsan Taslimi-Renani et al.
APPLIED ENERGY (2016)
Normal-Based Model for True Power Curves of Wind Turbines
Daniel Villanueva et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2016)
A statistical algorithm for predicting the energy storage capacity for baseload wind power generation in the future electric grids
Shahab Shokrzadeh et al.
ENERGY (2015)
Comparative analysis on power curve models of wind turbine generator in estimating capacity factor
Tian-Pau Chang et al.
ENERGY (2014)
Development of a Novel Power Curve Monitoring Method for Wind Turbines and Its Field Tests
Joon-Young Park et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION (2014)
A comprehensive review on wind turbine power curve modeling techniques
M. Lydia et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
How does wind farm performance decline with age?
Iain Staffell et al.
RENEWABLE ENERGY (2014)
Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods
Shahab Shokrzadeh et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2014)
Review of power curve modelling for wind turbines
C. Carrillo et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2013)
Sequential estimation of a location parameter and powers of a scale parameter from delayed observations
Jerzy Baran et al.
STATISTICA NEERLANDICA (2013)
Advanced Algorithms for Wind Turbine Power Curve Modeling
M. Lydia et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2013)
Monitoring of wind farms' power curves using machine learning techniques
Antonino Marvuglia et al.
APPLIED ENERGY (2012)
Bayesian and Robust Bayesian analysis under a general class of balanced loss functions
Mohammad Jafari Jozani et al.
STATISTICAL PAPERS (2012)
All admissible linear estimators of a regression coefficient under a balanced loss function
Guikai Hu et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2011)
The prediction and diagnosis of wind turbine faults
Andrew Kusiak et al.
RENEWABLE ENERGY (2011)
On estimation with weighted balanced-type loss function
MJ Jozani et al.
STATISTICS & PROBABILITY LETTERS (2006)
Share Paper
