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Grid aware electrification for decarbonising port logistics based on a case study from Sweden. [PDF]
Ramasan SM +3 more
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Predictive analysis of greenhouse gas emissions from electric vehicle charging in the United States. [PDF]
Amirgholy M +3 more
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Multistage prediction approach of EVs charging performance in smart transportation systems by deep learning technique. [PDF]
Abdelaziz MM +3 more
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Implementation of a pragmatic pathway to ensure high-quality processing of heterogeneous remote health sensing data. [PDF]
Ostovari M +8 more
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EVMCSDLT: Electric vehicle mobile charging system using distributed ledger technology. [PDF]
Deshmukh N +4 more
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Multi-Agent DDPG-Based Multi-Device Charging Scheduling for IIoT Smart Grids. [PDF]
Zeng H +5 more
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Applied Energy, 2021Abstract The threat of climate change motivates the expansion of variable renewable energy sources (VRES) as well as the transition to plug-in electric vehicles (PEV). Both technologies present unique challenges to electricity systems, potentially leading to high grid expansion cost.
Christoph Heilmann, David Wozabal
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Smart charging cell for smart cities
2014 IEEE International Workshop on Intelligent Energy Systems (IWIES), 2014Energy consumption can be to some extent steered not only in time but in special cases in space as well. This mostly concerns electric vehicles (EV) charging. In this work we present conceptual solution of a ‘GeoGreen Cell’ developed in scope of an international project — Ge(o)Green. The main purpose of such an aggregation is to efficiently coordinate.
Slobodan Lukovic, Igor Kaitovic
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Smart Charging of Electric Vehicles
2017A crucial challenge in future smart energy grids is the large-scale coordination of distributed energy generation and demand. In the last years several Demand Side Management approaches have been developed. A major drawback of these approaches is that they mainly focus on realtime control and not on planning, and hence cannot fully exploit the ...
Kempker, P.L. +4 more
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