Implementation of DC net metering scheme in off-board EV charging systems with a time of usage capability

Yadav, Kratika; Singh, Mukesh

doi:10.1016/j.epsr.2023.109690

Cited by 1 publication

(1 citation statement)

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“…In additional research, there is a planned endeavor to explore the incorporation of high-dimensional data through the utilization of machine learning and prediction methodologies (34,35). The objective of this study is to examine the utilization of various methodologies, such as soft computing techniques (36,37), in order to enhance the optimization of energy management inside microgrids.…”

Section: Resultsmentioning

confidence: 99%

Application of IoT and Non-Intrusive Load Monitoring Techniques in Microgrid Energy Management and Monitoring Systems

Esmaeili Shayan

2024

IJEE

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Environmentally sustainable metropolitan environments are characterized by their ability to effectively produce and distribute power while reducing their impact on the environment. Smart homes are essential in smart cities since they enhance sustainability and efficiency in urban settings. A key advantage of smart homes is their capacity to diminish energy use and carbon emissions. This is accomplished by optimizing energy consumption in home appliances, which is customized to fulfill the individual requirements and preferences of consumers. However, there is still a need for further academic research to investigate and improve the functioning of intelligent residential homes in microgrids. To efficiently manage microgrids, it is crucial to gather and analyze large amounts of electrical data related to power production from microgrid sources and energy consumption of the loads. This study examines the use of Non-Intrusive Load Monitoring (NILM) methods to monitor electrical parameters of different loads in microgrids. The research focuses on the application of affordable smart meters that are equipped with Internet of Things (IoT) capabilities. An empirical study showcases the possibility of collecting significant data on microgrid operation via the deployment of an operational microgrid that integrates a hybrid wind-solar power source with a variety of home appliances.

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Section: Resultsmentioning

confidence: 99%

Application of IoT and Non-Intrusive Load Monitoring Techniques in Microgrid Energy Management and Monitoring Systems

Esmaeili Shayan

2024

IJEE

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show abstract

Implementation of DC net metering scheme in off-board EV charging systems with a time of usage capability

Cited by 1 publication

References 20 publications

Application of IoT and Non-Intrusive Load Monitoring Techniques in Microgrid Energy Management and Monitoring Systems

Application of IoT and Non-Intrusive Load Monitoring Techniques in Microgrid Energy Management and Monitoring Systems

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