Y Song, X Hu - Transportation Research Part D: Transport and …, 2023 - Elsevier
We present a learning-based, demand-supply-coupled optimization model for the charging station location problem (CSLP), aiming to integrate the concept of electric vehicle (EV) …
H Kuang, H Qu, K Deng, J Li - Applied Energy, 2024 - Elsevier
A growing number of electric vehicles (EVs) is putting pressure on smart charging services. As a foundation of informing drivers of vacant charging facilities and rationalizing pricing, an …
F Gromann, AF Raab, K Strunz - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the share of electric vehicles in the transportation sector rising, solutions for their power system and energy market integration are of increasing importance. In this context …
L Zhang, Z Huang, Z Wang, X Li, F Sun - Energy, 2024 - Elsevier
The rapid adoption of electric vehicles (EVs) has led to dramatic increase in charging demands that poses great challenges for charging infrastructure. It is crucial to accurately …
L Wang, C Hu, T Ma, Z Yang, W Guo, Z Mao… - Gas Science and …, 2024 - Elsevier
The recognition of pipeline features contributes to its safe management by preventing severe consequences such as leakage resulting from bending deformation and denting …
C Tian, Y Liu, G Zhang, Y Yang, Y Yan, C Li - Energy, 2024 - Elsevier
Accurately predicting the power demand of large-scale electric vehicles (EVs) is one of the key tasks of power grid operation optimization. However, this task is difficult to complete due …
Z Wang, L Zhang, W Tang, Z Ma, J Huang - Applied Energy, 2024 - Elsevier
Distribution networks (DNs) are under severe requirements of security and ecology, such as maintaining continuous power supply for critical loads under extreme disasters and …
J Cao, Y Han, N Pan, J Zhang, J Yang - Energy, 2024 - Elsevier
This paper addresses the optimization of urban charging facilities expansion in response to the growing charging demand and proposes a data-driven bi-level optimization framework …