scholarly journals Demand-Side Management Optimization in Electric Vehicles Battery Swapping Service

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 95224-95232 ◽  
Author(s):  
Liang Zhang ◽  
Sihang Zhou ◽  
Jing An ◽  
Qi Kang
2021 ◽  
Author(s):  
Sophie Adams ◽  
Lisa Diamond ◽  
Tara Esterl ◽  
Peter Fröhlich ◽  
Rishabh Ghotge ◽  
...  

Executive Summary of the final report of the Users TCP Social License to Automate Task findings from a 2 year project with 16 researchers in 6 countries, 26 Case studies spanning electric vehicles, home and precinct batteries, air conditioners and other heat pumps.


2020 ◽  
pp. 139-159
Author(s):  
Alper Ozpinar ◽  
Eralp Ozil

Energy becoming more and more crucial and critical in the civilized populations and locates itself as one of the major requirements of living standards. Obtaining the energy from fossil fuels still is one of the common sources of energy production; however, there is a common understanding of increasing the potential use of renewables, carbon capture and storage, energy efficiency and intelligence and smart applications for collecting, distributing and transmission of the energy between the supply and demand locations. Those applications and generating the new policies, roadmaps in order to make an energy revolution and increase the usage of low-carbon energy technologies targeting the decrease of energy related emissions. In this chapter, the authors explains the common issues about smart grid and demand side management and possible use artificial intelligence and metaheuristic algorithms for smart grid and demand side management optimization and scheduling.


2019 ◽  
Vol 10 (3) ◽  
pp. 2683-2691 ◽  
Author(s):  
Karol Lina Lopez ◽  
Christian Gagne ◽  
Marc-Andre Gardner

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