Demand Side Control for Energy Saving in Renewable Energy Resources Using Deep Learning Optimization-Reference-Cited by-同舟云学术

Demand Side Control for Energy Saving in Renewable Energy Resources Using Deep Learning Optimization

Published:2023-08-22 Issue:19 Volume:51 Page:2397-2413
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Shekhar Himanshu¹,Bhushan Mahato Chandra²,Suman Sanjay Kumar³,Singh Satyanand⁴,Bhagyalakshmi L.⁵,Prasad Sharma Mahendra⁶,Laxmi Kantha B.⁷,T Helan Vidhya⁵,Agraharam Siva Kumar⁸,Rajaram A.⁹

Affiliation:

1. Department of ECE, Hindustan Institute of Technology and Science, Chennai, India

2. MIT Muzaffarpur, Muzaffarpur, India

3. Department of ECE, St. Martin’s Engineering College, Secunderabad, India

4. School of Electrical and Electronics Engineering, Fiji National University, Nasinu, Fiji

5. Department of ECE, Rajalakshmi Engineering College, Chennai, India

6. Department of IT, IIMT College of Engineering Greater Noida, India

7. Department of IT, St. Martin’s Engineering College, Secunderabad, India

8. Department of CSE, KL University, Vijayawada, India

9. Department of Electronics and Communication Engineering, E.G.S Pillay Engineering College, Nagapattinam, India

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2246463

Reference32 articles.

1. REFOS: A Renewable Energy Multi-Purpose Floating Offshore System

2. Modeling the processes of substantiation of renewable energy development projects

3. A Demand-Supply Matching-Based Approach for Mapping Renewable Resources Towards 100% Renewable Grids in 2050

4. Optimal Configuration with Capacity Analysis of a Hybrid Renewable Energy and Storage System for an Island Application

5. Integrating Hydrokinetic Energy into Hybrid Renewable Energy System: Optimal Design and Comparative Analysis

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