4.3 Article

A novel flicker detection method for vertical axis wind turbine using two-dimensional discrete wavelet transform

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

Identification of multiple harmonic sources in power system containing inverter-based distribution generations using empirical mode decomposition

Amir Moradifar et al.

IET GENERATION TRANSMISSION & DISTRIBUTION (2019)

Article Computer Science, Artificial Intelligence

A classification method for multiple power quality disturbances using EWT based adaptive filtering and multiclass SVM

Karthik Thirumala et al.

NEUROCOMPUTING (2019)

Review Engineering, Electrical & Electronic

Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

Manohar Mishra

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms

Seckin Karasu et al.

SWARM AND EVOLUTIONARY COMPUTATION (2019)

Article Engineering, Electrical & Electronic

Power Quality Disturbances Recognition Using Modified S Transform and Parallel Stack Sparse Auto-encoder

Wei Qiu et al.

ELECTRIC POWER SYSTEMS RESEARCH (2019)

Article Engineering, Electrical & Electronic

SVM-based PQ disturbance recognition system

Jiansheng Huang et al.

IET GENERATION TRANSMISSION & DISTRIBUTION (2018)

Article Engineering, Electrical & Electronic

Classification of power quality disturbances using dual strong tracking filters and rule-based extreme learning machine

Xiaojing Chen et al.

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2018)

Article Engineering, Electrical & Electronic

A new embedded power quality event classification system based on the wavelet transform

Belkis Eristi et al.

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2018)

Article Engineering, Electrical & Electronic

Power-quality disturbance recognition based on time-frequency analysis and decision tree

Tie Zhong et al.

IET GENERATION TRANSMISSION & DISTRIBUTION (2018)

Article Computer Science, Information Systems

Real-Time Detection of Power System Disturbances Based on k-Nearest Neighbor Analysis

Lianfang Cai et al.

IEEE ACCESS (2017)

Article Green & Sustainable Science & Technology

Recognition and assessment of different factors which affect flicker in wind turbines

Milad Fooladi et al.

IET RENEWABLE POWER GENERATION (2016)

Article Computer Science, Artificial Intelligence

Determining true harmonic contributions of sources using neural network

A. S. S. Murugan et al.

NEUROCOMPUTING (2016)

Article Engineering, Electrical & Electronic

Quantity Versus Quality: Optimal Harvesting Wind Power for the Smart Grid

Fanxin Kong et al.

PROCEEDINGS OF THE IEEE (2014)

Article Engineering, Electrical & Electronic

A Reliability Perspective of the Smart Grid

Khosrow Moslehi et al.

IEEE TRANSACTIONS ON SMART GRID (2010)

Review Green & Sustainable Science & Technology

Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines

Mazharul Islam et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2008)

Review Green & Sustainable Science & Technology

Evaluation of different turbine concepts for wind power

Sandra Eriksson et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2008)

Article Energy & Fuels

Simulation model of wind turbine 3p torque oscillations due to wind shear and tower shadow

Dale S. L. Dolan et al.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2006)

Article Energy & Fuels

Flicker study on variable speed wind turbines with doubly fed induction generators

T Sun et al.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2005)

Article Engineering, Electrical & Electronic

2-D analysis and compression of power-quality event data

ÖN Gerek et al.

IEEE TRANSACTIONS ON POWER DELIVERY (2004)