A systematic review on shared mobility in China
JW Hu, F Creutzig - International journal of sustainable …, 2022 - Taylor & Francis
The last decade witnessed a rapid rise in shared mobility in China. However, there is lack of
understanding how the shared mobility market developed, how shared mobility reshapes …
understanding how the shared mobility market developed, how shared mobility reshapes …
Multinodes interval electric vehicle day-ahead charging load forecasting based on joint adversarial generation
N Huang, Q He, J Qi, Q Hu, R Wang, G Cai… - International Journal of …, 2022 - Elsevier
The spatial–temporal distribution of electric vehicle (EV) charging load has strong
randomness and is affected by battery capacity and user behavior. In addition, the multinode …
randomness and is affected by battery capacity and user behavior. In addition, the multinode …
Reinforcement Learning-Based Load Forecasting of Electric Vehicle Charging Station Using Q-Learning Technique
M Dabbaghjamanesh, A Moeini… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The electric vehicles'(EVs) rapid growth can potentially lead power grids to face new
challenges due to load profile changes. To this end, a new method is presented to forecast …
challenges due to load profile changes. To this end, a new method is presented to forecast …
Daily electric vehicle charging load profiles considering demographics of vehicle users
Travel pattern of an electric vehicle (EV) user and the accuracy of their probability
distribution models are the key factors affecting the simulation and prediction of EV charging …
distribution models are the key factors affecting the simulation and prediction of EV charging …
Electric vehicle charging demand forecasting using deep learning model
Greenhouse gas (GHG) emission and excessive fuel consumption have become a pressing
issue nowadays. Particularly, CO2 emissions from transportation account for approximately …
issue nowadays. Particularly, CO2 emissions from transportation account for approximately …
[HTML][HTML] The impact of plug-in behavior on the spatial–temporal flexibility of electric vehicle charging load
While electric vehicles (EVs) are expected to support decarbonizing transport, EVs can
challenge the electricity system. Investigating the EV charging load and its flexibility, eg, by …
challenge the electricity system. Investigating the EV charging load and its flexibility, eg, by …
A systematic literature review on machine learning in shared mobility
J Teusch, JN Gremmel, C Koetsier… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …
traditional public transport, promising to reduce the number of private vehicles on roads …
Two-stage robust optimization dispatch for multiple microgrids with electric vehicle loads based on a novel data-driven uncertainty set
The uncertainty in electric power demand associated with the increasing penetration of
electric vehicles can profoundly affect the stability of microgrids. Therefore, the present work …
electric vehicles can profoundly affect the stability of microgrids. Therefore, the present work …
Short-term load forecasting model of electric vehicle charging load based on MCCNN-TCN
J Zhang, C Liu, L Ge - Energies, 2022 - mdpi.com
The large fluctuations in charging loads of electric vehicles (EVs) make short-term
forecasting challenging. In order to improve the short-term load forecasting performance of …
forecasting challenging. In order to improve the short-term load forecasting performance of …
Probabilistic forecasts of time and energy flexibility in battery electric vehicle charging
Users charging the batteries of their electric vehicles in an uncoordinated manner can
present energy systems with a challenge. One possible solution, smart charging, relies on …
present energy systems with a challenge. One possible solution, smart charging, relies on …