Demand Response Program for Efficient Demand-Side Management in Smart Grid Considering Renewable Energy Sources-Reference-Cited by-同舟云学术

Demand Response Program for Efficient Demand-Side Management in Smart Grid Considering Renewable Energy Sources

Published:2022 Issue: Volume:10 Page:53832-53853
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Sajjad¹^ORCID,Rehman Ateeq Ur²^ORCID,Wadud Zahid²^ORCID,Khan Imran³^ORCID,Murawwat Sadia⁴,Hafeez Ghulam³^ORCID,Albogamy Fahad R.⁵^ORCID,Khan Sheraz³^ORCID,Samuel Omaji⁶^ORCID

Affiliation:

1. Department of Telecommunication Engineering, University of Engineering and Technology, Peshawar, Peshawar, Pakistan

2. Department of Computer Systems Engineering, University of Engineering and Technology, Peshawar, Peshawar, Pakistan

3. Department of Electrical Engineering, University of Engineering and Technology, Mardan, Mardan, Pakistan

4. Department of Electrical Engineering, Lahore College for Women University, Lahore, Pakistan

5. Computer Sciences Program, Turabah University College, Taif University, Taif, Saudi Arabia

6. Department of Computer Science, Confluence University of Science and Technology (CUSTECH), Osara, Kogi, Nigeria

Funder

Taif University, Taif, Saudi Arabia, through the Taif University Researchers Supporting Project

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/ielx7/6287639/9668973/09773279.pdf?arnumber=9773279

Reference63 articles.

1. Progress on the demand side management in smart grid and optimization approaches

2. Real-Time Residential-Side Joint Energy Storage Management and Load Scheduling With Renewable Integration

3. Heuristic-Based Programable Controller for Efficient Energy Management Under Renewable Energy Sources and Energy Storage System in Smart Grid

4. An Intelligent Integrated Approach for Efficient Demand Side Management With Forecaster and Advanced Metering Infrastructure Frameworks in Smart Grid

5. An Innovative Optimization Strategy for Efficient Energy Management With Day-Ahead Demand Response Signal and Energy Consumption Forecasting in Smart Grid Using Artificial Neural Network

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