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Smart city article details

Title	Renewable Green Energy Resources For Next-Generation Smart Cities Using Big Data Analytics
ID_Doc	45070
Authors	Zhu L.; Shi J.F.; Shi Y.H.; Xu H.P.; Shanthini A.; Seetharam T.G.
Year	2022
Published	Journal of Interconnection Networks, 22
DOI	http://dx.doi.org/10.1142/S0219265921410048
Abstract	Energy is now seen as a significant resource that develops abundant on the world economy, with short supply and development. A study found that renewable energy systems are needed to prevent shortages. Hence, all the focus in this study to decrease electricity consumption and reduce the overall completion times for a regular console in green technology networks was an efficient and scalable production genomic solution. A Renewable green energy resources smart city (RGER-SC) framework is proposed that used a multi-target evolutionary algorithm was hybridized to be effective and calculated arithmetically in this study. This work deals with fostering renewable energy incorporation by adjusting federal charges to increase the energy accounting practitioners. Besides, this report analyses the timely generation of delay-tolerant demands and the maintenance of district heating at network infrastructure. In comparison, capacity differentials between consumers and information centres are considered and evaluated using the Renewable green energy resources smart city (RGER-SC) framework for energy conservation and controlled task management at an industrial level. © 2022 World Scientific Publishing Company.
Author Keywords	big data analytics; green energy; Renewable energy; smart cities

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