Prediction of EV charging behavior using machine learning
As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …
Machine learning approaches for EV charging behavior: A review
As the smart city applications are moving from conceptual models to development phase,
smart transportation is one of smart cities applications and it is gaining ground nowadays …
smart transportation is one of smart cities applications and it is gaining ground nowadays …
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 …
Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations
Electric vehicles (EVs) are the most important components of smart transportation systems.
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …
Household EV charging demand prediction using machine and ensemble learning
S Ai, A Chakravorty, C Rong - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The global popularization of electric vehicles (EVs) poses an opportunity for the construction
of micro-grid and smart community within energy internet on competent the massive and …
of micro-grid and smart community within energy internet on competent the massive and …
Ensemble machine learning-based algorithm for electric vehicle user behavior prediction
This research investigates electric vehicle (EV) charging behavior and aims to find the best
method for its prediction in order to optimize the EV charging schedule. This paper …
method for its prediction in order to optimize the EV charging schedule. This paper …
Short-term electric vehicle charging demand prediction: A deep learning approach
S Wang, C Zhuge, C Shao, P Wang, X Yang, S Wang - Applied Energy, 2023 - Elsevier
Short-term prediction of the Electric Vehicle (EV) charging demand is of great importance to
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …
Electric vehicle driver clustering using statistical model and machine learning
Electric Vehicle (EV) is playing a significant role in the distribution energy management
systems since the power consumption level of the EVs is much higher than the other regular …
systems since the power consumption level of the EVs is much higher than the other regular …
[HTML][HTML] Multistep electric vehicle charging station occupancy prediction using hybrid LSTM neural networks
Public charging station occupancy prediction plays key importance in developing a smart
charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However …
charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However …
Model-free real-time EV charging scheduling based on deep reinforcement learning
Driven by the recent advances in electric vehicle (EV) technologies, EVs have become
important for smart grid economy. When EVs participate in demand response program which …
important for smart grid economy. When EVs participate in demand response program which …