A review of islanding detection techniques for renewable distributed generation systems
Islanding detection of distributed generations (DGs) is one of the most important aspects of
interconnecting DGs to the distribution system. Islanding detection techniques can generally …
interconnecting DGs to the distribution system. Islanding detection techniques can generally …
A comprehensive review for industrial applicability of artificial neural networks
MRG Meireles, PEM Almeida… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
This paper presents a comprehensive review of the industrial applications of artificial neural
networks (ANNs), in the last 12 years. Common questions that arise to practitioners and …
networks (ANNs), in the last 12 years. Common questions that arise to practitioners and …
Privacy: Theory meets practice on the map
In this paper, we propose the first formal privacy analysis of a data anonymization process
known as the synthetic data generation, a technique becoming popular in the statistics …
known as the synthetic data generation, a technique becoming popular in the statistics …
Battery choice and management for new-generation electric vehicles
Different types of electric vehicles (EVs) have been recently designed with the aim of solving
pollution problems caused by the emission of gasoline-powered engines. Environmental …
pollution problems caused by the emission of gasoline-powered engines. Environmental …
Progress and recent trends in wind energy
AD Şahin - Progress in energy and combustion science, 2004 - Elsevier
Towards the end of 20th and beginning of the 21st centuries, interest has risen in new and
renewable energy (RE) sources especially wind energy for electricity generation. The …
renewable energy (RE) sources especially wind energy for electricity generation. The …
Disturbance-observer-based complementary sliding-mode speed control for PMSM drives: A super-twisting sliding-mode observer-based approach
This article proposes a novel disturbance-observer-based complementary sliding-mode (DO-
CSM) speed controller for the field-oriented controlled permanent-magnet synchronous …
CSM) speed controller for the field-oriented controlled permanent-magnet synchronous …
An evaluation of machine learning methods to detect malicious SCADA communications
JM Beaver, RC Borges-Hink… - 2013 12th international …, 2013 - ieeexplore.ieee.org
Critical infrastructure Supervisory Control and Data Acquisition (SCADA) systems have been
designed to operate on closed, proprietary networks where a malicious insider posed the …
designed to operate on closed, proprietary networks where a malicious insider posed the …
Verification for machine learning, autonomy, and neural networks survey
This survey presents an overview of verification techniques for autonomous systems, with a
focus on safety-critical autonomous cyber-physical systems (CPS) and subcomponents …
focus on safety-critical autonomous cyber-physical systems (CPS) and subcomponents …
Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive
A self-constructing fuzzy neural network (SCFNN) which is suitable for practical
implementation is proposed. The structure and the parameter learning phases are …
implementation is proposed. The structure and the parameter learning phases are …
On-line adaptive artificial neural network based vector control of permanent magnet synchronous motors
MA Rahman, MA Hoque - IEEE Transactions on Energy …, 1998 - ieeexplore.ieee.org
This paper presents a novel approach of speed control for a permanent magnet
synchronous motor (PMSM) using on-line self tuning artificial neural network (ANN). Based …
synchronous motor (PMSM) using on-line self tuning artificial neural network (ANN). Based …