Research on Smart Grid analysis based on informatization

Zhang, Long; Chen, Jun; Huang, Jutao; Huang, Jianwen

doi:10.1109/icmlc.2012.6359495

2012 International Conference on Machine Learning and Cybernetics 2012

DOI: 10.1109/icmlc.2012.6359495

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Research on Smart Grid analysis based on informatization

Long Zhang

Jun Chen

Jutao Huang

et al.

Abstract: Smart Grid reflects the worldwide facing energy problem and so will be one of the largest facilities deployments.Countries gradually published their act on Smart Grid research and application, as well as utilities. This paper introduces the Smart Grid understanding in CSG, attaching with some of its development plan.

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EV Charging Behavior Analysis Using Hybrid Intelligence for 5G Smart Grid

Shen

Fang

et al. 2020

Electronics

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With the development of the Internet of Things (IoT) and the widespread use of electric vehicles (EV), vehicle-to-grid (V2G) has sparked considerable discussion as an energy-management technology. Due to the inherently high maneuverability of EVs, V2G systems must provide on-demand service for EVs. Therefore, in this work, we propose a hybrid computing architecture based on fog and cloud with applications in 5G-based V2G networks. This architecture allows the bi-directional flow of power and information between schedulable EVs and smart grids (SGs) to improve the quality of service and cost-effectiveness of energy service providers. However, it is very important to select an EV suitable for scheduling. In order to improve the efficiency of scheduling, we first need to determine define categories of target EV users. We found that grouping on the basis of EV charging behavior is one effective method to identify target EVs. Therefore, we propose a hybrid artificial intelligence classification method based on the charging behavior profile of EVs. Through this classification method, target EVs can be accurately identified. The results of cross-validation experiments and performance evaluations suggest that this method is effective.

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EV Charging Behavior Analysis Using Hybrid Intelligence for 5G Smart Grid

Shen

Fang

et al. 2020

Electronics

View full text Add to dashboard Cite

show abstract

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Research on Smart Grid analysis based on informatization

Cited by 1 publication

References 0 publications

EV Charging Behavior Analysis Using Hybrid Intelligence for 5G Smart Grid

EV Charging Behavior Analysis Using Hybrid Intelligence for 5G Smart Grid

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