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Now showing items 781-790 of 997
Cybersecurity for industrial control systems: A survey
(
Elsevier Ltd
, 2020 , Article Review)
Industrial Control System (ICS) is a general term that includes supervisory control & data acquisition (SCADA) systems, distributed control systems (DCS), and other control system configurations such as programmable logic ...
A fast sensitivity analysis method for voltage control applications with distributed generation
(
IEEE Computer Society
, 2020 , Conference Paper)
Sensitivity Analysis has been widely used for voltage control of power grids. Typically, the sensitivity coefficients of network voltages are extracted from the inverse of Jacobian matrix. However, updating these coefficients ...
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
(
Elsevier B.V.
, 2020 , Article)
The heart sound signals (Phonocardiogram ? PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess ...
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Support estimation (SE) of a sparse signal refers to finding the location indices of the nonzero elements in a sparse representation. Most of the traditional approaches dealing with SE problems are iterative algorithms ...
Impact of forced and unforced system parameter variations on network stability and system economics of radial MTDC networks
(
Elsevier Ltd
, 2020 , Article)
This paper focuses on investigating the impact of system parameters uncertainty on voltage droop-controlled Multi-Terminal High-Voltage DC (MTDC) networks. The voltage droop typically controls the power-sharing among the ...
Exploiting heterogeneity in operational neural networks by synaptic plasticity
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network ...
A proportional power sharing method through a local control for a low-voltage islanded microgrid
(
Elsevier Ltd
, 2022 , Article)
In this paper, the proportional power sharing is focused through proposing a modified reverse droop control (RDC) scheme in a low-voltage (LV) islanded microgrid. The power is shared proportionally among parallel ...
A review of thermal management for Li-ion batteries: Prospects, challenges, and issues
(
Elsevier Ltd
, 2021 , Article Review)
Li-ion batteries are essential component in the current generation of electric vehicles. However, further pushing electric vehicles are concerned with battery life. Since the temperature dictates battery lifetime, it is ...
Hybrid hydrogen-battery storage to smooth solar energy volatility and energy arbitrage considering uncertain electrical-thermal loads
(
Elsevier
, 2020 , Article)
This paper brings together the benefits of hydrogen and battery storage devices in the electrical network integrated with solar energy. The introduced hybrid storage system is utilized to achieve two purposes including ...
Implementation and reliability analysis of a new transformerless high-gain DC-DC converter for renewable energy applications
(
John Wiley and Sons Inc
, 2022 , Article)
In this paper, a new high-gain quadratic boost DC-DC converter is proposed for a DC microgrid. The converter has a voltage multiplier cell made up of switched inductors to obtain a high voltage at the output. It has a ...