A Hybrid White Shark Equilibrium Optimizer for Power Scheduling Problem Based IoT-Reference-Cited by-同舟云学术

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A Hybrid White Shark Equilibrium Optimizer for Power Scheduling Problem Based IoT

Published:2022 Issue: Volume:10 Page:132212-132231
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Makhadmeh Sharif Naser¹^ORCID,Al-Betar Mohammed Azmi¹,Assaleh Khaled¹,Kassaymeh Sofian²

Affiliation:

1. Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates

2. Department of Software Engineering, Faculty of Information Technology, Aqaba University of Technology, Aqaba, Jordan

Funder

Ajman University

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/ielx7/6287639/9668973/09987497.pdf?arnumber=9987497

Reference44 articles.

1. An Optimal Power Scheduling for Smart Home Appliances with Smart Battery using Grey Wolf Optimizer

2. Energy Efficient Smart Buildings Using Coordination Among Appliances Generating Large Data

3. Load forecasting, dynamic pricing and DSM in smart grid: A review

4. Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids

5. Scheduling Appliances with GA, TLBO, FA, OSR and Their Hybrids Using Chance Constrained Optimization for Smart Homes

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