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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Autores principales:	Ahmed Hadi Ali AL-Jumaili, Yousif I. Al Mashhadany, Rossilawati Sulaiman, Zaid Abdi Alkareem Alyasseri
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	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
Acceso en línea:	https://doaj.org/article/ea8b79aed5fb44ff95a33c20ae9a2ea4
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spelling	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)
institution	DOAJ
collection	DOAJ
language	EN
topic	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
spellingShingle	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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A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges

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