Deep encoder–decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling

T Ebbs-Picken, DA Romero, CM Da Silva, CH Amon - Applied Energy, 2024 - Elsevier
Conjugate heat transfer (CHT) analyses are vital for the design of many energy systems.
However, high-fidelity CHT numerical simulations are computationally intensive, which limits …

Forecasting Methods for the Electric Vehicle Ownership: A Literature Review

BKL Kemala, I Surjandari, ANG Puspita - Procedia Computer Science, 2024 - Elsevier
The sustainability issue in the transportation sector brings the electric vehicle (EV) as a new
promising solution for reducing carbon emissions. However, the EV adoption faces issues …

Short-term electric vehicle charging load forecasting based on TCN-LSTM network with comprehensive similar day identification

J Tian, H Liu, W Gan, Y Zhou, N Wang, S Ma - Applied Energy, 2025 - Elsevier
With the rapid growth of the number of electric vehicles (EVs) and the considerable
challenges this poses to the power distribution network, the necessity for accurate …

Day-ahead prediction of electric vehicle charging demand based on quadratic decomposition and dual attention mechanisms

H Guo, L Chen, Z Wang, L Li - Applied Energy, 2025 - Elsevier
Electric vehicles (EVs) are poised to become a vital flexibility resource in the future power
system. However, due to their inherent stochastic nature, accurately predicting EV charging …

Accurate Prediction of Electrochemical Degradation Trajectory for Lithium‐Ion Battery Using Self‐Discharge

H Kim, T Jung, J Jung, Y Noh… - International Journal of …, 2024 - Wiley Online Library
Accurate prediction of battery performance is crucial for timely battery health management.
However, it is challenging to forecast precisely battery's performance due to its intricate …

Identifying influential spreaders in complex networks based on density entropy and community structure

Z Su, L Chen, J Ai, YY Zheng, N Bie - Chinese Physics B, 2024 - iopscience.iop.org
In recent years, exploring the relationship between community structure and node centrality
in complex networks has gained significant attention from researchers, given its fundamental …

[PDF][PDF] Spatial Modelling for Determining Electric Vehicle Charging Station Allocation in North Jakarta

GP Dinanta, AW Syamroni… - … Journal of Renewable …, 2023 - researchgate.net
The rapid gradual shifting of electric vehicles (EVs) as a part of the green transition of
electric mobility (e-mobility) has brought one of the most challenging issues for the urban …

Electric Vehicle User Profiling and Spatiotemporal Charging Demand Forecasting Based on Monte Carlo Method

W Jiang, H Ameer, Y Wang - 2024 IEEE 25th China …, 2024 - ieeexplore.ieee.org
This paper addresses the challenge of limited understanding of current user behaviors by
proposing an electric vehicle (EV) user profile method that encompasses a broad …