The role of asymmetric prediction losses in smart charging of electric vehicles

M Straka, Ľ Buzna, N Refa, S Mazuelas - International Journal of Electrical …, 2022 - Elsevier
Climate change prompts humanity to look for decarbonisation opportunities, and a viable
option is to supply electric vehicles with renewable energy. The stochastic nature of …

Asynchronously updated predictions of electric vehicles' connection duration to a charging station

M Straka, M Jančura, N Refa… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Electric vehicles are promising to mitigate the in-creasing CO 2 emissions from transport,
provided that renew-able energy sources generate the demanded electricity. The …

Smart charging for electric vehicle aggregators considering users' preferences

JM Clairand, J Rodriguez-Garcia, C Alvarez-Bel - IEEE Access, 2018 - ieeexplore.ieee.org
Most of the road transportations currently depend on fossil fuels, which results in significant
environmental and health issues. This is being addressed with the deployment of electric …

[图书][B] The adaptive charging network research portal: Systems, tools, and algorithms

ZJ Lee - 2021 - search.proquest.com
Millions of electric vehicles (EVs) will enter service in the next decade, generating gigawatt-
hours of additional energy demand. Charging these EVs cleanly, affordably, and without …

Reinforcement learning-based plug-in electric vehicle charging with forecasted price

A Chiş, J Lundén, V Koivunen - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a novel demand response method that aims at reducing the long-term
cost of charging the battery of an individual plug-in electric vehicle (PEV). The problem is …

Forecasting Sensitivity Analysis of Reinforcement Learning Based Smart Charging

T Peirelinck, K Thoelen… - 2023 IEEE PES Innovative …, 2023 - ieeexplore.ieee.org
With the transition towards electric vehicles comes a need for more charging infrastructure.
Office buildings can struggle with charging station hosting capacity limitations due to …

[HTML][HTML] Predictability of electric vehicle charging: Explaining extensive user behavior-specific heterogeneity

M Kreft, T Brudermueller, E Fleisch, T Staake - Applied Energy, 2024 - Elsevier
Smart charging systems can reduce the stress on the power grid from electric vehicles by
coordinating the charging process. To meet user requirements, such systems need input on …

[HTML][HTML] Data-driven smart charging for heterogeneous electric vehicle fleets

O Frendo, J Graf, N Gaertner, H Stuckenschmidt - Energy and AI, 2020 - Elsevier
The ongoing electrification of mobility comes with the challenge of charging electric vehicles
(EVs) sufficiently while charging infrastructure capacities are limited. Smart charging …

Electric vehicle charging and discharging algorithm based on reinforcement learning with data-driven approach in dynamic pricing scheme

J Lee, E Lee, J Kim - Energies, 2020 - mdpi.com
In the smart grid environment, the penetration of electric vehicle (EV) is increasing, and
dynamic pricing and vehicle-to-grid technologies are being introduced. Consequently …

[图书][B] Smart charging of electric vehicles

PL Kempker, NM van Dijk, W Scheinhardt… - 2017 - Springer
A 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 …