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Smart and sustainable scheduling of charging events for electric buses

Padraigh Jarvis, Laura Climent, Alejandro Arbeláez

2023Top10 citationsDOIOpen Access PDF

Abstract

Abstract This paper presents a framework for the efficient management of renewable energies to charge a fleet of electric buses (eBuses). Our framework starts with the prediction of clean energy time windows, i.e., periods of time when the production of clean energy exceeds the demand of the country. Then, the optimization phase schedules charging events to reduce the use of non-clean energy to recharge eBuses while passengers are embarking or disembarking. The proposed framework is capable of overcoming the unstable and chaotic nature of wind power generation to operate the fleet without perturbing the quality of service. Our extensive empirical validation with real instances from Ireland suggests that our solutions can significantly reduce non-clean energy consumed on large data sets.

Topics & Concepts

Renewable energyComputer scienceScheduling (production processes)ChaoticWind powerElectric potential energyEnvironmental economicsAutomotive engineeringClean energyEnergy (signal processing)Mathematical optimizationElectrical engineeringEngineeringEconomicsMathematicsStatisticsArtificial intelligenceElectric Vehicles and InfrastructureTransportation and Mobility InnovationsEnergy, Environment, and Transportation Policies
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