Machine Learning-Based Adaline Neural PQ Strategy for a Photovoltaic Integrated Shunt Active Power Filter

Machine Learning-Based Adaline Neural PQ Strategy for a Photovoltaic Integrated Shunt Active Power Filter

This paper introduces novel techniques based on Machine Learning (ML) algorithms for a Photovoltaic integrated Shunt Active Power Filter performance improvement. The first goal is to design an efficient maximum power point tracking MPPT strategy in order to harness the largest amount of energy possi...

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Bibliographic Details
Main Authors: Asmae Azzam Jai, Mohammed Ouassaid
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Machine learning
support vector machine regression
photovoltaic integrated shunt active power filter
maximum power point tracking
harmonics identification
Online Access:https://ieeexplore.ieee.org/document/10141592/

Internet

https://ieeexplore.ieee.org/document/10141592/

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