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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 ...