@incollection{islam_chapter_2022,
	title = {Chapter 3 - {IoET}-{SG}: {Integrating} internet of energy things with smart grid},
	isbn = {978-0-323-91228-0},
	shorttitle = {Chapter 3 - {IoET}-{SG}},
	url = {https://www.sciencedirect.com/science/article/pii/B9780323912280000136},
	abstract = {The term smart grid refers to an electrical grid system that incorporates a range of operating and energy initiatives including advanced metering, intelligent distribution boards and circuit breakers, load control switches and smart devices, and renewable energy resources. The incorporation of the internet of things (IoT) into the smart grid, called the internet of energy things-smart grid (IoET-SG), has many benefits, such as a decrease in costs or saving time through smart grid devices. This system can include a wide range of home appliances, gadgets, clothes, intelligent trackers, smart meters, and small-scale vehicles. These devices would record usage data in real-time from all those objects and enable a two-way exchange of information which allows optimization of their usage. This study focuses mainly on IoET-SG research, advantages, and future challenges, along with effective solutions to these challenges.},
	language = {en},
	urldate = {2022-05-21},
	booktitle = {Sustainable {Developments} by {Artificial} {Intelligence} and {Machine} {Learning} for {Renewable} {Energies}},
	publisher = {Elsevier},
	author = {Islam, M. Shahidul and Islam, Md. Mehedi and Ahmed, Sabbir and Rahman, Md. Sazzadur and Kumar, Krishna and Kaiser, M. Shamim},
	editor = {Kumar, Krishna and Rao, Ram Shringar and Kaiwartya, Omprakash and Kaiser, M. Shamim and Padmanaban, Sanjeevikumar},
	month = jan,
	year = {2022},
	doi = {10.1016/B978-0-323-91228-0.00013-6},
	keywords = {Big data, Energy utilization, Internet of things, Machine learning, Smart grid},
	pages = {49--61},
}

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