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International Journal of Electrical Power System and Technology Cover

International Journal of Electrical Power System and Technology

ISSN: 2455-7293

Publisher

Focus and Scope

About the Journal

International Journal of Electrical Power System and Technology [2455-7293(e)] is a peer-reviewed hybrid open-access journal launched in 2015 that covers many diversified and interlinked areas of electrical power systems and technology including conventional electromechanical technology and electrical power systems computer analysis. Journal includes theoretical and experimental research articles and review papers.

Focus and Scope

  • Conventional electromechanical: Linear motors, Ball screw drives, Comparison Velocity gain, Velocity Acceleration, Linear Electromechanical Dives, Conventional Electromechanical Dives, Electric Distribution Networks, Automation, Reclosers, Retrofit, Wireless Communication, faulty conditions, current transformer.

  • Neural networks: AI, Machine Learning, Deep Learning, simulated neural networks (SNNs), deep learning algorithms, artificial neural networks (ANNs), Feedforward neural networks, natural language processing, Convolutional neural networks (CNNs), multi-layer perceptrons (MLPs), Recurrent neural networks (RNNs), backpropagation, processors, pre-trained models, nodes.

  • Object-oriented system: C++, C#, Python, Javascript, object-oriented programming, self-contained implication, Modeling, UML (Unified Modeling Language), Encapsulation, Inheritance.

  • System control centers: voltage, transient, frequency, small-signal instability, power grid, motor control center, L.T motors, PCC (Power Control Centre) Panels, energy control center (ECC), VFD Panel (Variable Frequency drive panel), circuit breakers, contactors, current transformers, relays, control devices, Miniature Circuit Breakers, Molded Case Circuit Breaker, virtual control panel, remote control panel, physical control panel.

  • Database and information systems: Database management system (DBMS), structured information, Hierarchical database systems, Network database systems, object-oriented database systems, MySQL, SQL Server, MongoDB, Oracle Database, PostgreSQL, Informix, Sybase, relational database management system (RDBMS), Effective data integration, customer relationship management (CRM) tool, data security, data integration, Data Manipulation Language, Data Control Language, Transaction Control Language, Data Query Language.

  • Stock and parameter estimation: Confidence interval (CI) estimate, system behavior, machine learning, Data Science, Signal Processing, statistics, communication system, radar, CPT (conditional probability table), IQ (in-phase, quadrature) imbalance parameters, AWGN (additive white Gaussian noise), Maximum Likelihood (ML) Estimation, Maximum a Posteriori (MAP) Estimation, Minimum Mean Square Error (MMSE) Estimation, Least Square (LS) Estimation, Bayes Estimator, data assimilation, Parametric estimating, ODE-based models, estimators, data-generating parameters.

  • Small and large system dynamics: computer-based mathematical modeling, Feedback loops, Very Large System Dynamics Models, system dynamics (SD) models, Large models, model validation, and Verifiable Fuel Cycle Simulation (VISION) model.

  • Man-machine interfaces:  Human-Machine Interface (HMI), Human-machine interface technology, motion sensors, speech-recognition interfaces, Touchscreens, membrane switches, Man-Machine Interface, Computer-Human Interface, Human-Computer Interface, Cyber-Physical Systems (CPS), SIMONA, Human-CPS Interaction, Human-centered design, cyber-physical systems, user requirements, mobile systems.

  • Electric Power Systems Computer Analysis: generation, a high voltage transmission grid, and a distribution system, Supplies, Loads, Conductors, Capacitors and reactors, Power electronics, Protective devices, SCADA systems, POWERHU, Electrical Transient Analyzer Program (ETAP), ETAP, SKM PowerTools, EasyPower, PowerWorld, PSS E, PSCAD, CYME, DIgSILENT.