Iot and AI-Based MPPT Techniques for Hybrid Solar and Fuel Cell-Reference-Cited by-同舟云学术

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Iot and AI-Based MPPT Techniques for Hybrid Solar and Fuel Cell

Published:2024-01-02 Issue: Volume: Page:1-21
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Govindasamy Malathi¹,Cyril Mathew O.²,Kumar Boopathi Mathan³,Chandran Gowrishankar⁴

Affiliation:

1. Department of Electrical and Electronics Engineering, M. A. M. School of Engineering Siruganur, Trichy, Tamil Nadu, India

2. Department of Electronics and Communication Engineering, Al Ameen Engineering College, Nanjai Uthukkuli, Tamil Nadu, India

3. Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India

4. Department of Electrical and Electronics Engineering, Kongunadu College of Engineering and Technology, Trichy, Tamil Nadu, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2298277

Reference31 articles.

1. An Effective Falcon Optimization Algorithm Based MPPT Under Partial Shaded Photovoltaic Systems

2. A reinforcement learning-based energy management strategy for fuel cell hybrid vehicle considering real-time velocity prediction

3. An improved genetic algorithm based fractional open circuit voltage MPPT for solar PV systems

4. A Novel Hybrid MPPT Approach for Solar PV Systems Using Particle-Swarm-Optimization-Trained Machine Learning and Flying Squirrel Search Optimization

5. Tracking Photovoltaic Power Output Schedule of the Energy Storage System Based on Reinforcement Learning

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