相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Wind turbine power curve modeling using radial basis function neural networks and tabu search
Despina Karamichailidou et al.
RENEWABLE ENERGY (2021)
Review of control strategy of large horizontal-axis wind turbines yaw system
Jian Yang et al.
WIND ENERGY (2021)
Sparse Heteroscedastic Multiple Spline Regression Models for Wind Turbine Power Curve Modeling
Yun Wang et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2021)
Toward hybrid approaches for wind turbine power curve modeling with balanced loss functions and local weighting schemes
Mehrdad Mehrjoo et al.
ENERGY (2021)
Quantile based probabilistic wind turbine power curve model*
Keyi Xu et al.
APPLIED ENERGY (2021)
Annual Energy Production Estimation for Variable-speed Wind Turbine at High-altitude Site
Dongran Song et al.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2021)
Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian Process regression
T. J. Rogers et al.
RENEWABLE ENERGY (2020)
Wind turbine power curve modeling for reliable power prediction using monotonic regression
Mehrdad Mehrjoo et al.
RENEWABLE ENERGY (2020)
Wind Turbine Power Curve Modeling and Monitoring With Gaussian Process and SPRT
Peng Guo et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Turbine-specific short-term wind speed forecasting considering within-farm wind field dependencies and fluctuations
Ahmed Aziz Ezzat
APPLIED ENERGY (2020)
Wind Power Curve Modeling With Asymmetric Error Distribution
Yun Wang et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Wind turbine power curve modeling based on interval extreme probability density for the integration of renewable energies and electric vehicles
Shuang Han et al.
RENEWABLE ENERGY (2020)
Wind turbine power modelling and optimization using artificial neural network with wind field experimental data
Haiying Sun et al.
APPLIED ENERGY (2020)
An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems
Soheyl Khalilpourazari et al.
SOFT COMPUTING (2019)
Wind Power Curve Modeling and Wind Power Forecasting With Inconsistent Data
Yun Wang et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2019)
HWPSO: A new hybrid whale-particle swarm optimization algorithm and its application in electronic design optimization problems
Naushad Manzoor Laskar et al.
APPLIED INTELLIGENCE (2019)
Wind turbine power curve modeling using maximum likelihood estimation method
Seokho Seo et al.
RENEWABLE ENERGY (2019)
Uncertainty estimation for wind energy conversion by probabilistic wind turbine power curve modelling
Jie Yan et al.
APPLIED ENERGY (2019)
Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model
Jinhua Zhang et al.
APPLIED ENERGY (2019)
Improving backtracking search algorithm with variable search strategies for continuous optimization
Hsing-Chih Tsai
APPLIED SOFT COMPUTING (2019)
Modelling and analysis of real-world wind turbine power curves: Assessing deviations from nominal curve by neural networks
G. Ciulla et al.
RENEWABLE ENERGY (2019)
Adaptive Confidence Boundary Modeling of Wind Turbine Power Curve Using SCADA Data and Its Application
Yang Hu et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2019)
Approaches to wind power curve modeling: A review and discussion
Yun Wang et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Stochastic wind speed modelling for estimation of expected wind power output
Angeliki Loukatou et al.
APPLIED ENERGY (2018)
A novel hybrid algorithm based on Biogeography-Based Optimization and Grey Wolf Optimizer
Xinming Zhang et al.
APPLIED SOFT COMPUTING (2018)
Comparison of logistic functions for modeling wind turbine power curves
Daniel Villanueva et al.
ELECTRIC POWER SYSTEMS RESEARCH (2018)
Implementation of novel hybrid approaches for power curve modeling of wind turbines
Mehmet Yesilbudak
ENERGY CONVERSION AND MANAGEMENT (2018)
Wind turbine power curve modeling based on Gaussian Processes and Artificial Neural Networks
Bartolorne Manobel et al.
RENEWABLE ENERGY (2018)
Data-Driven Correction Approach to Refine Power Curve of Wind Farm Under Wind Curtailment
Yongning Zhao et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2018)
A learning and niching based backtracking search optimisation algorithm and its applications in global optimisation and ANN training
Debao Chen et al.
NEUROCOMPUTING (2017)
Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model
Yun Wang et al.
APPLIED ENERGY (2017)
Non-linear regression model for wind turbine power curve
Mantas Marciukaitis et al.
RENEWABLE ENERGY (2017)
Overview of wind power intermittency: Impacts, measurements, and mitigation solutions
Guorui Ren et al.
APPLIED ENERGY (2017)
Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer
Vikram Kumar Kamboj et al.
NEURAL COMPUTING & APPLICATIONS (2016)
Development of an enhanced parametric model for wind turbine power curve
Ehsan Taslimi-Renani et al.
APPLIED ENERGY (2016)
Reformulation of parameters of the logistic function applied to power curves of wind turbines
Daniel Villanueva et al.
ELECTRIC POWER SYSTEMS RESEARCH (2016)
Grey Wolf Optimizer algorithm for the two-stage assembly flow shop scheduling problem with release time
G. M. Komaki et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
A comprehensive review on wind turbine power curve modeling techniques
M. Lydia et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Review of power curve modelling for wind turbines
C. Carrillo et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2013)
Advanced Algorithms for Wind Turbine Power Curve Modeling
M. Lydia et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2013)
Using Data-Mining Approaches for Wind Turbine Power Curve Monitoring: A Comparative Study
Meik Schlechtingen 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)
The wind power of Mexico
Q. Hernandez-Escobedo et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2010)
分享论文
