Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313260360> ?p ?o ?g. }
- W4313260360 endingPage "146" @default.
- W4313260360 startingPage "146" @default.
- W4313260360 abstract "The high penetration of electric vehicles (EVs) will burden the existing power delivery infrastructure if their charging and discharging are not adequately coordinated. Dynamic pricing is a special form of demand response that can encourage EV owners to participate in scheduling programs. Therefore, EV charging and discharging scheduling and its dynamic pricing model are important fields of study. Many researchers have focused on artificial intelligence-based EV charging demand forecasting and scheduling models and suggested that artificial intelligence techniques perform better than conventional optimization methods such as linear, exponential, and multinomial logit models. However, only a few research studies focused on EV discharging scheduling (i.e., vehicle-to-grid, V2G) because the concept of EV discharging electricity back to the power grid is relatively new and evolving. Therefore, a review of existing EV charging and discharging-related studies is needed to understand the research gaps and to make some improvements in future studies. This paper reviews EV charging and discharging-related studies and classifies them into forecasting, scheduling, and pricing mechanisms. The paper determines the linkage between forecasting, scheduling, and pricing mechanism and identifies the research gaps in EV discharging scheduling and dynamic pricing models." @default.
- W4313260360 created "2023-01-06" @default.
- W4313260360 creator A5080424208 @default.
- W4313260360 creator A5086764413 @default.
- W4313260360 date "2022-12-23" @default.
- W4313260360 modified "2023-09-25" @default.
- W4313260360 title "Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review" @default.
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