AI-Based GEVs Mobility Estimation and Battery Aging Quantification Method

Li, Shuangqi; Gu, Chenghong

doi:10.1007/978-981-19-5751-2_7

Cited by 1 publication

(1 citation statement)

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“…In addition, complex problems such as power demand forecasting and charge scheduling optimization are stochastic, requiring models to be continually updated. Energy management problems pose immense severity in the search for sustainable solutions through AI [56]. The techniques support various services, such as V2G energy load prediction, consumer classification, load management, and its analysis, where data immutability and a trust mechanism are provided for safe energy management.…”

Section: Aspects Of Artificial Intelligence (Ai) To Benefit V2gmentioning

confidence: 99%

Analysis of Smart Energy Systems and High Participation of V2G Impact for the Ecuadorian 100% Renewable Energy System by 2050

et al. 2023

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This research presents a 100% renewable energy (RE) scenario by 2050 with a high share of electric vehicles on the grid (V2G) developed in Ecuador with the support of the EnergyPLAN analysis tool. Hour-by-hour data iterations were performed to determine solutions among various features, including energy storage, V2G connections that spanned the distribution system, and long-term evaluation. The high participation in V2G connections keeps the electrical system available; meanwhile, the high proportions of variable renewable energy are the pillar of the joint electrical system. The layout of the sustainable mobility scenario and the high V2G participation maintain the balance of the electrical system during most of the day, simplifying the storage equipment requirements. Consequently, the influence of V2G systems on storage is a significant result that must be considered in the energy transition that Ecuador is developing in the long term. The stored electricity will not only serve as storage for future grid use. Additionally, the V2G batteries serve as a buffer between generation from diversified renewable sources and the end-use stage.

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Section: Aspects Of Artificial Intelligence (Ai) To Benefit V2gmentioning

confidence: 99%