Artificial Intelligence for Electric Vehicle Infrastructure: Demand Profiling, Data Augmentation, Demand Forecasting, Demand Explainability and Charge Optimisation

Electric vehicles (EVs) are advancing the transport sector towards a robust and reliable carbon-neutral future. Given this increasing uptake of EVs, electrical grids power networks faced with challenges distributed energy resources, specifically charge discharge requirements electric vehicle infrastructure (EVI). Simultaneously, rapid digitalisation EVs has led to generation large volumes data on supply, distribution consumption energy. Artificial intelligence (AI) algorithms can be leveraged draw insights decisions from these datasets. Despite several recent work in space, comprehensive study practical value AI charge-demand profiling, augmentation, demand forecasting, explainability optimisation EVI not been formally investigated. The objective was design, develop evaluate framework that addresses gap EVI. Results empirical evaluation real-world case confirm its contribution addressing emerging resources EV adoption.