Electric vehicle energy demand prediction techniques: An in-depth and critical systematic review
Accurate forecast of electric vehicle energy demand is vital for maintaining the stability and
reliability of power systems. With the increasing prevalence of electric vehicles in …
reliability of power systems. With the increasing prevalence of electric vehicles in …
Data-Driven Analysis of EV Energy Prediction and Planning of EV Charging Infrastructure
A Palaniappan, P Bhukya, SK Chitti… - 2023 IEEE Ninth …, 2023 - ieeexplore.ieee.org
To reduce the current crisis on energy and environmental problems, the adoption of electric
vehicles is an effective way. But limited access and availability of charging infrastructure are …
vehicles is an effective way. But limited access and availability of charging infrastructure are …
[HTML][HTML] Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive …
The main goal in this research is to train various machine learning models to predict
charging cycles in EV Electric Vehicles) battery systems. The considered models are …
charging cycles in EV Electric Vehicles) battery systems. The considered models are …
EV Forecasting-Based Model Predictive Control for Distribution System Congestion Mitigation
Y Li, T Su, J Zhao, R Yang - 2024 IEEE Kansas Power and …, 2024 - ieeexplore.ieee.org
The uncoordinated charging of electric vehicles (EVs) in time and space brings congestion
issues to the distribution network. This paper proposes an EV charging demand forecasting …
issues to the distribution network. This paper proposes an EV charging demand forecasting …
Study of Electric Vehicle Charging Prediction using Different Machine Learning Algorithms
S Sharma, K Deepa… - 2024 10th International …, 2024 - ieeexplore.ieee.org
Electric Vehicles (EV s) have become a necessary companion of humans in the last 5–6
years since these solely work on electricity. People are preferring EVs over regular vehicles …
years since these solely work on electricity. People are preferring EVs over regular vehicles …
Nearest Charging Station Identification for EV Using Machine Learning Techniques
PCV Chaganti, PV Manitha… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
As the call for electric cars (EVs) continues to surge, making sure efficient access to charging
infrastructure will become paramount for encouraging their large adoption. The research …
infrastructure will become paramount for encouraging their large adoption. The research …
AI-Driven Prediction of EV Charging Station Load Demand in Indonesia: A Machine Learning Approach
This study applies ML (Machine Learning) techniques to enhance the efficiency of Electric
Vehicle (EV) Charging Station (EVCS) load demand management in Indonesia, leveraging …
Vehicle (EV) Charging Station (EVCS) load demand management in Indonesia, leveraging …
Design of Novel Energy Management System in Solar PV Powered EV Charging Station Using Artificial Gorilla Troops Optimization
M Sathesh, BP Prathaban… - … Learning Applications in …, 2025 - taylorfrancis.com
This work focused on minimizing the Mean Square Error (MSE) of the energy management
system in solar PV powered EV charging stations using Levenberg-Marquardt Algorithm …
system in solar PV powered EV charging stations using Levenberg-Marquardt Algorithm …
[PDF][PDF] Systems and Soft Computing
The main goal in this research is to train various machine learning models to predict
charging cycles in EV Electric Vehicles) battery systems. The considered models are …
charging cycles in EV Electric Vehicles) battery systems. The considered models are …