Results 11 to 20 of about 383,448 (314)
Multi Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model [PDF]
We propose a forecasting technique based on multi-feature data fusion to enhance the accuracy of an electric vehicle (EV) charging station load forecasting deep-learning model.
Prince Aduama, Zhibo Zhang, A. Sumaiti
semanticscholar +1 more source
Electric Vehicle Charging Fault Monitoring and Warning Method Based on Battery Model
With the development of electric vehicles in China, the fault monitoring and warning systems for the charging process of electric vehicles have received the industry’s attention. A method for the monitoring and warning of electric vehicle charging faults
Yuanxing Zhang +6 more
doaj +1 more source
Automatic charging for electric vehicles has broad development prospects for meeting the personalized service experience of users while overcoming the inherent safety hazards.
Taoyong Li +5 more
doaj +1 more source
Electric vehicle charging [PDF]
The number of electric vehicles (EVs) is expected to increase. As a consequence, more EVs will need charging, potentially causing not only congestion at charging stations, but also in the distribution grid. Our goal is to illustrate how this gives rise to resource allocation and performance problems that are of interest to the Sigmetrics community.
A. Aveklouris (Angelos) +3 more
openaire +5 more sources
Collaborative Planning of Community Charging Facilities and Distribution Networks
The construction of community charging facilities and supporting distribution networks based on the predicted results of electric vehicle (EV) charging power in saturation year has resulted in a large initial idleness of the distribution network and a ...
Xiao-Hong Diao +6 more
doaj +1 more source
Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems With an Electric Vehicle Charging Station: A Bi-Level Approach [PDF]
A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy efficiency and environmental pollution, it is a critical task to coordinate flexible demand response ...
Yang Li, M. Han, Zhen Yang, Guoqing Li
semanticscholar +1 more source
The delivery of electricity employing an electromagnetic field that extends across an intervening region is called a wireless power transfer (WPT). This approach paves the way for electric vehicles (EVs) to use newly available options to reduce their ...
Pradeep Vishnuram +4 more
doaj +1 more source
Electric Vehicles (EVs) are projected to be one of the major contributors to energy transition in global transportation due to their rapid expansion. High-level EVs integration into the electricity grid will introduce many challenges for the power grid ...
Sithara S. G. Acharige +5 more
semanticscholar +1 more source
Aiming at the imbalances of SOC (state of charge, SOC) and SOH (state of health, SOH) for battery energy storage system (BESS) in smoothing photovoltaic power fluctuations, a power allocation method of BESS is proposed.
Jing Zhang +5 more
doaj +1 more source
Energy Management System for Hybrid Renewable Energy-Based Electric Vehicle Charging Station
This paper introduces an energy management algorithm for a hybrid solar and biogas-based electric vehicle charging station (EVCS) that considers techno-economic and environmental factors.
A. K. Karmaker +4 more
semanticscholar +1 more source

