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Comparative Realistic Objectives Oriented Optimization Framework for EV Charging Scheduling in a Distribution System
(Institute of Electrical and Electronics Engineers Inc., 2022)
The integration of large-scale electric vehicles (EVs)
into the distribution system has emerged as a critical topic of
research with the proliferation of EVs over the years. To mitigate
the negative effects of EVs on ...
Integrated Rail System and EV Parking Lot Operation With Regenerative Braking Energy, Energy Storage System and PV Availability
(IEEE, 2022)
A significant advancement regarding the electrification of transportation has occurred in recent years due to
technological developments, environmental concerns, and geopolitical issues in the energy areas all over the ...
Real-time Allocation of Multi-mobile Resources in Integrated Distribution and Transportation Systems for Resilient Electrical Grid
(IEEE, 2022)
This study proposes a novel real-time optimizationbased critical load restoration strategy for the post-event stages.
The key idea is to integrate multi-mobile and stationary
resources into the emergency tools of the ...
Real-Time Hardware Acceleration of Low Precision Quantized Custom Neural Network Model on ZYNQ SoC
(IEEE, 2023)
Achieving a lower memory footprint and reduced
computational density in neural network models requires the use
of low-precision models. However, existing techniques typically
rely on floating-point arithmetic to preserve ...
Scheduling of Mobile Charging Stations for Fair Electric Vehicle Charging
(IEEE, 2023)
The escalating demand for electric vehicles
(EVs) has underscored the necessity for devising and
implementing innovative EV charging techniques, rendering it
a pressing concern. In this investigation, we put forward ...
Energy Management Strategy for a Microgrid Including All-in-One Electric Vehicle Station, Renewable Energy and Demand Response
(IEEE, 2023)
Energy consumption in residential areas and
transportation sector constitutes an important part of the global
energy demand. Moreover, a large part of these energy demands
is met from fossil resources. Recently, microgrid ...
Load Estimation of Different Types of Domestic Users Using Machine Learning Methods and Optimal Battery Sizing
(IEEE, 2023)
gained ever-increasing importance as the world population grows, set to reach 10 billion by 2050. The urgency for sustainable and nature-friendly energy production, as well as efficient consumption, parallels the rising ...