Ensemble offshore Wind Turbine Power Curve modelling – An integration of Isolation Forest, fast Radial Basis Function Neural Network, and metaheuristic algorithm

A Critical Review of Wind Power Forecasting Methods—Past, Present and Future

(2020) Shahram Hanifi et al.   Energies

Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network

(2020) Zi Lin et al.   ENERGY

Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks

(2020) Zi Lin et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Wind turbine power curve modeling using radial basis function neural networks and tabu search

(2020) Despina Karamichailidou et al.   RENEWABLE ENERGY

Wind power forecasting – A data-driven method along with gated recurrent neural network

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

A comparison of different metaheuristics for the quadratic assignment problem in accelerated systems

(2020) Manoj Kumar et al.   APPLIED SOFT COMPUTING

Research on nodal wind power values and optimal accommodation based on locational marginal price

(2019) Yuewen Jiang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

Multi-layer radial basis function neural network based on multi-scale kernel learning

(2019) Yang Zhao et al.   APPLIED SOFT COMPUTING

Improvement of reliability and wind power generation based on wind turbine real-time condition assessment

(2019) Yongchao Zhu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system

(2018) Jianzhou Wang et al.   ENERGY

Wind turbine power curve modelling using artificial neural network

(2016) Francis Pelletier et al.   RENEWABLE ENERGY

A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing

(2014) Alex Alexandridis et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction

(2013) Niya Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Advanced Algorithms for Wind Turbine Power Curve Modeling

(2013) M. Lydia et al.   IEEE Transactions on Sustainable Energy

Using Data-Mining Approaches for Wind Turbine Power Curve Monitoring: A Comparative Study

(2013) Meik Schlechtingen et al.   IEEE Transactions on Sustainable Energy

Regional Wind Power Forecasting Based on Smoothing Techniques, With Application to the Spanish Peninsular System

(2012) Miguel G. Lobo et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization

(2012) A. Alexandridis et al.   IEEE Transactions on Neural Networks and Learning Systems

A Radial Basis Function network training algorithm using a non-symmetric partition of the input space – Application to a Model Predictive Control configuration

(2011) Alex Alexandridis et al.   ADVANCES IN ENGINEERING SOFTWARE

Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution

(2011) Sung-Kwun Oh et al.   NEUROCOMPUTING

Performance evaluation and accuracy enhancement of a day-ahead wind power forecasting system in China

(2011) Pan Zhao et al.   RENEWABLE ENERGY

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Analysis of wind power generation and prediction using ANN: A case study

(2007) M. Carolin Mabel et al.   RENEWABLE ENERGY