Difference between revisions of "Semi-supervised deep learning model to optimally charge and discharge the batteries of electric cars and balance distribution of electrical energy in the power grid"

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{{StudentProjectTemplate
 
{{StudentProjectTemplate
|Summary=A semi-supervised deep learning model will be developed to optimally charge and discharge the batteries of electric cars while there are connected to the power grid, to better balance the distribution of electrical energy in the grid. (This project is a collaboration between Halmstad University and Sam Houston State University (USA)).
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|Summary=A semi-supervised deep learning model will be developed to optimally charge and discharge the batteries of electric cars while they are connected to the power grid. (In collaboration with Sam Houston State University (USA)).
 
|Supervisor=Reza Khoshkangini, Amin Sahba, Ramin Sahba
 
|Supervisor=Reza Khoshkangini, Amin Sahba, Ramin Sahba
 
|Level=Master
 
|Level=Master
 
|Status=Open
 
|Status=Open
 
}}
 
}}

Latest revision as of 20:48, 27 October 2021

Title Semi-supervised deep learning model to optimally charge and discharge the batteries of electric cars and balance distribution of electrical energy in the power grid
Summary A semi-supervised deep learning model will be developed to optimally charge and discharge the batteries of electric cars while they are connected to the power grid. (In collaboration with Sam Houston State University (USA)).
Keywords
TimeFrame
References
Prerequisites
Author
Supervisor Reza Khoshkangini, Amin Sahba, Ramin Sahba
Level Master
Status Open