Optimal Machine-Learning-Based Controller for Shunt Active Power Filter by Auto Machine Learning
Author:
Affiliation:
1. Department of Electrical Engineering, IIT Roorkee, Roorkee, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/6245517/10149883/10049454.pdf?arnumber=10049454
Reference20 articles.
1. A Unified Artificial Neural Network Architecture for Active Power Filters
2. Neural Networks Based Shunt Hybrid Active Power Filter for Harmonic Elimination
3. Neural Network and Bandless Hysteresis Approach to Control Switched Capacitor Active Power Filter for Reduction of Harmonics
4. Application of Artificial Neural Networks for Shunt Active Power Filter Control
5. Auto-Keras: An Efficient Neural Architecture Search System
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1. Finite-Control-Set Model Predictive Control for Single-Phase CHB 5-Level Inverter as an Active Power Filter With Discrete-Time FO-PI DC-Link Controller;IEEE Access;2024
2. Shunt compensation using Deep Belief Learning Network Based Inductively Coupled DSTATCOM;Energy Systems;2023-12-26
3. Improving Power Quality in Grid-Connected Photovoltaic Systems: A Comparative Analysis of Model Predictive Control in Three-Level and Two-Level Inverters;Sensors;2023-09-15
4. Review of Machine Learning Techniques for Power Electronics Control and Optimization;COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE & ENGINEERING;2023
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