Analysis of multidimensional impacts of electric vehicles penetration in distribution networks. [PDF]
Ibrahim RA, Gaber IM, Zakzouk NE.
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An AI-Augmented Dataset of Multi-Prototype Electric Vehicle Charging Load Profiles in China. [PDF]
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A scalable cloud-integrated AI platform for real-time optimization of EV charging and resilient microgrid energy management. [PDF]
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Smart charge-optimizer: Intelligent electric vehicle charging and discharging. [PDF]
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Electric vehicle path optimization research based on charging and switching methods under V2G. [PDF]
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scVMAP: a comprehensive platform for integrating single-cell chromatin accessibility regions with causal variants. [PDF]
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Hybrid fuzzy-MPC based multi-objective control strategy for fast charging of electric vehicles with advanced battery thermal management and renewable grid support. [PDF]
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Software Defined Wi-V2G: A V2G Network Architecture
IEEE Intelligent Transportation Systems Magazine, 2018The valley-to-peak difference in power consumption is a crucial problem in load regulation and control for a power grid. By allowing electric vehicles (EVs) to charge during off-peak hours and feed power back into the grid during peak hours, Vehicle-to-Grid (V2G) technology can help to shave the power peak.
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