Machine Learning-Based Adaline Neural PQ Strategy for a Photovoltaic Integrated Shunt Active Power Filter
Author:
Affiliation:
1. Engineering for Smart and Sustainable Systems Research Center, Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat, Morocco
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10141592.pdf?arnumber=10141592
Reference58 articles.
1. A comprehensive review on inverter topologies and control strategies for grid connected photovoltaic system
2. Deep Q reinforcement learning to improve the MPPT in solar cell;yadav;Advances in Math Sci Applic,2022
3. Comparison of deep learning and regression-based MPPT algorithms in PV systems
4. Grid Integration Challenges and Solution Strategies for Solar PV Systems: A Review
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1. Shunt Active Power Filters in Three-Phase, Three-Wire Systems: A Topical Review;Energies;2024-06-11
2. Design and Implementation of Load Network Time Constant Computation Based Solar Active Power Filters Cum Injector for Industrial Loads/Grids;IEEE Access;2024
3. Harmonics Mitigation of Grid-Connected Solar PV using Dual Modified Reduced Order Generalized Integrator;2023 Fourth International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE);2023-12-08
4. Universal Active Filter With SPV and Battery Support for Standalone Hydroelectric System;IEEE Transactions on Industrial Electronics;2023
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