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
Published in:	IEEE access Vol. 11; p. 1
Main Authors:	Jai, Asmae Azzam, Ouassaid, Mohammed
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Active filters Algorithms Harmonic analysis Harmonics harmonics identification Machine learning Maximum power point trackers maximum power point tracking Maximum power tracking Parameters Photovoltaic cells photovoltaic integrated shunt active power filter Photovoltaic systems Power harmonic filters Regression support vector machine regression Support vector machines Voltage control Weather
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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