Harmonics Prediction and Mitigation using Adaptive Neuro Fuzzy Inference System Model based on Hybrid of Wind Solar Driven by DFIG-Reference-Cited by-同舟云学术

Harmonics Prediction and Mitigation using Adaptive Neuro Fuzzy Inference System Model based on Hybrid of Wind Solar Driven by DFIG

Published:2022-10-12 Issue: Volume: Page:
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Container-title:2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
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Author:

Al Hadi Fawaz¹,Aly Hamed H. H.¹,Little Timothy¹

Affiliation:

1. Dalhousie University,Electrical and Computer Engineering Department

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9946385/9946450/09946597.pdf?arnumber=9946597

Reference12 articles.

1. A Proposed Adaptive Intelligent Controllers for Tidal Currents Turbine Driving DDPMSG for Improving the Output Power Generated;hamed;IEEE Electrical Power and Energy Conference Montreal OC Canada,2019

2. An intelligent hybrid model ofneuro Wavelet, time series and Recurrent Kalman Filter for wind speed forecasting;aly;Sustainable Energy Technologies and Assessments Journal SETA,2020

3. A Hybrid Optimized Model of Adaptive Neuro-Fuzzy Inference System, Recurrent Kalman Filter and Neuro-Wavelet for Wind Power Forecasting Driven by DFIG

4. Harmonics Mitigation Based on the Minimization of Non-Linearity Current in a Power System

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1. Harmonics Forecasting of Renewable Energy System Using Hybrid Model Based on LSTM and ANFIS;IEEE Access;2024

2. Harmonics Forecasting of Wind and Solar Hybrid Model Driven by DFIG and PMSG Using ANN and ANFIS;IEEE Access;2023

3. Harmonics Forecasting of Wind and Solar Hybrid Model Based on Deep Machine Learning;IEEE Access;2023