A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges
This review describes a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must be shared quickly, accurately, and safely. The current study aims to introduce a conceptual and...
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oai:doaj.org-article:ea8b79aed5fb44ff95a33c20ae9a2ea42021-11-11T14:58:03ZA Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges10.3390/app112198202076-3417https://doaj.org/article/ea8b79aed5fb44ff95a33c20ae9a2ea42021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9820https://doaj.org/toc/2076-3417This review describes a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must be shared quickly, accurately, and safely. The current study aims to introduce a conceptual and systematic structure with three main components: demand power (direct current (DC)-device), power mix between renewable energy (RE) and other power sources, and a cloud-based power optimization intelligent system. These methods and techniques monitor demand power (DC-device), load, and power mix between RE and other power sources. Cloud-based power optimization intelligent systems lead to an optimal power distribution solution that reduces power consumption or costs. Data has been collected from reliable sources such as Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar, and PubMed. The overall findings of these studies are visually explained in the proposed conceptual framework through the literature that are considered to be cloud computing based on storing and running the intelligent systems of power management and mixing.Ahmed Hadi Ali AL-JumailiYousif I. Al MashhadanyRossilawati SulaimanZaid Abdi Alkareem AlyasseriMDPI AGarticlepower managementstate of chargebattery agingdc-devicepower consumptionrenewable energyTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9820, p 9820 (2021) |
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power management state of charge battery aging dc-device power consumption renewable energy Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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power management state of charge battery aging dc-device power consumption renewable energy Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Ahmed Hadi Ali AL-Jumaili Yousif I. Al Mashhadany Rossilawati Sulaiman Zaid Abdi Alkareem Alyasseri A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges |
description |
This review describes a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must be shared quickly, accurately, and safely. The current study aims to introduce a conceptual and systematic structure with three main components: demand power (direct current (DC)-device), power mix between renewable energy (RE) and other power sources, and a cloud-based power optimization intelligent system. These methods and techniques monitor demand power (DC-device), load, and power mix between RE and other power sources. Cloud-based power optimization intelligent systems lead to an optimal power distribution solution that reduces power consumption or costs. Data has been collected from reliable sources such as Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar, and PubMed. The overall findings of these studies are visually explained in the proposed conceptual framework through the literature that are considered to be cloud computing based on storing and running the intelligent systems of power management and mixing. |
format |
article |
author |
Ahmed Hadi Ali AL-Jumaili Yousif I. Al Mashhadany Rossilawati Sulaiman Zaid Abdi Alkareem Alyasseri |
author_facet |
Ahmed Hadi Ali AL-Jumaili Yousif I. Al Mashhadany Rossilawati Sulaiman Zaid Abdi Alkareem Alyasseri |
author_sort |
Ahmed Hadi Ali AL-Jumaili |
title |
A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges |
title_short |
A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges |
title_full |
A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges |
title_fullStr |
A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges |
title_full_unstemmed |
A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges |
title_sort |
conceptual and systematics for intelligent power management system-based cloud computing: prospects, and challenges |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/ea8b79aed5fb44ff95a33c20ae9a2ea4 |
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