A Deep Learning-Based Approach to Optimize Power Systems with Hybrid Renewable Energy Sources-Reference-Cited by-同舟云学术

A Deep Learning-Based Approach to Optimize Power Systems with Hybrid Renewable Energy Sources

Published:2023-05-03 Issue:16 Volume:51 Page:1740-1755
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Dhandapani Lakshmi¹,Shinde Sagar Bhilaji²,Wadhwa Lalitkumar²,Hariramakrishnan Perumal³,Padmaja Suragani Mohini⁴,Devi Gurusamy Meena⁵,Venkatarao Malini Kalale⁶,Razia Shaik⁷

Affiliation:

1. Department of Electrical and Electronics Engineering, AMET Deemed to be University, Kanathur, Tamil Nadu, India

2. Department of Electronics and Telecommunication Engineering, Dr. D. Y. Patil Institute of Technology, Pune, Maharashtra, India

3. Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, Tamil Nadu, India

4. Department of Electrical and Electronics Engineering, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India

5. Department of Mathematics, St. Joseph’s College of Engineering, Chennai, Tamil Nadu, India

6. Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore, Karnataka, India

7. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2202677

Reference18 articles.

1. Mobility-Aware Hybrid Flow Rule Cache Scheme in Software-Defined Access Networks

2. Harmonic Linearization and Investigation of Three-Phase Parallel-Structured Signal Decomposition Algorithms in Grid-Connected Applications

3. A Cyberphysical Testbed for Smart Water Networks Research Education and Development in Qatar

4. Study on Power Quality Control in Multiple Renewable Energy Hybrid MicroGrid System

5. An analytic hierarchy process-based novel approach for benchmarking the power quality performance of grid-integrated renewable energy systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Image Classification Approach via MobileNet Model for Security Assessment of Power System;Electric Power Components and Systems;2024-03-20