About the Journal

Focus and Scope

Journal of Electrical, Control, and Data Science (JECDS) is an open-access, peer-reviewed scientific journal that publishes original research articles, review articles, and innovative contributions in the fields of electrical engineering, control systems, automation, artificial intelligence, data science, and emerging technologies.

The journal provides a multidisciplinary platform for researchers, academics, engineers, practitioners, and industry professionals to disseminate theoretical developments, computational methods, experimental results, technological innovations, and practical applications addressing current challenges in electrical systems, intelligent control, automation, and data-driven technologies.

The scope of the journal includes, but is not limited to, the following areas:

1. Electrical Engineering and Power Systems

  • Electrical power systems and power system analysis
  • Power generation, transmission, and distribution
  • Smart grids and intelligent power systems
  • Renewable and sustainable energy systems
  • Solar photovoltaic and wind energy systems
  • Energy storage systems and battery technologies
  • Distributed generation and microgrids
  • Power system stability, reliability, and protection
  • Power quality and harmonic analysis
  • Power electronics and electrical drives
  • High-voltage engineering and insulation systems
  • Electrical machines and transformers
  • Energy management and optimization

2. Control Systems and Automation

  • Classical and modern control systems
  • Adaptive and robust control
  • Optimal control
  • Nonlinear control
  • Intelligent control systems
  • Predictive control and Model Predictive Control (MPC)
  • PID control and advanced PID tuning
  • Fuzzy logic control
  • Neural network-based control
  • Reinforcement learning for control
  • System identification and modeling
  • Industrial automation
  • Robotics and autonomous systems
  • Process control and instrumentation
  • Supervisory Control and Data Acquisition (SCADA)

3. Artificial Intelligence and Machine Learning

  • Machine learning and deep learning
  • Artificial intelligence for engineering applications
  • Neural networks and evolutionary computation
  • Reinforcement learning
  • Computer vision and image processing
  • Natural language processing for engineering applications
  • Explainable Artificial Intelligence (XAI)
  • Predictive modeling and forecasting
  • Classification, regression, and clustering
  • Anomaly and fault detection
  • Intelligent optimization algorithms
  • AI-based control and automation
  • AI applications in energy and electrical systems

4. Data Science and Engineering Analytics

  • Data science methodologies and applications
  • Data analytics and engineering analytics
  • Big data and data-driven engineering
  • Statistical modeling and computational statistics
  • Time-series analysis and forecasting
  • Predictive analytics
  • Data mining and knowledge discovery
  • Feature engineering and dimensionality reduction
  • Data visualization and decision-support systems
  • Digital twins and data-driven modeling
  • Signal processing and data analytics
  • Explainable and interpretable data-driven models

5. Internet of Things and Cyber-Physical Systems

  • Internet of Things (IoT)
  • Industrial Internet of Things (IIoT)
  • Wireless sensor networks
  • Embedded systems
  • Edge computing and fog computing
  • Cyber-physical systems
  • Smart sensing and instrumentation
  • IoT-based monitoring and control
  • Smart home and smart building systems
  • Smart manufacturing
  • Industrial automation and Industry 4.0
  • IoT data analytics and intelligent decision systems

6. Electrical Instrumentation, Measurement, and Signal Processing

  • Electrical and electronic measurement systems
  • Sensors and transducers
  • Intelligent instrumentation
  • Signal processing
  • Digital signal processing
  • Fault diagnosis and condition monitoring
  • Measurement systems and calibration
  • Remote monitoring systems
  • Biomedical instrumentation and signal processing
  • Embedded measurement systems
  • Real-time monitoring and data acquisition

7. Electronics, Embedded Systems, and Communication

  • Analog and digital electronics
  • Microcontrollers and microprocessors
  • Embedded systems
  • FPGA and programmable logic systems
  • Power electronics
  • Electronic circuit design
  • Communication systems
  • Wireless communication
  • Sensor networks
  • Embedded AI and edge AI
  • Hardware–software co-design
  • Real-time embedded systems

8. Optimization and Computational Intelligence

  • Engineering optimization
  • Metaheuristic optimization
  • Evolutionary algorithms
  • Swarm intelligence
  • Genetic algorithms
  • Particle Swarm Optimization (PSO)
  • Firefly Algorithm (FA)
  • Ant Colony Optimization (ACO)
  • Differential Evolution (DE)
  • Multi-objective optimization
  • Optimal placement and sizing
  • Optimization of control systems
  • Optimization of energy and electrical systems
  • Hybrid optimization and machine learning

9. Smart Energy and Sustainable Electrical Systems

  • Renewable energy integration
  • Smart energy management
  • Microgrid control and optimization
  • Distributed energy resources
  • Energy forecasting
  • Demand-side management
  • Energy efficiency
  • Electric vehicles and charging systems
  • Vehicle-to-Grid (V2G)
  • Battery management systems
  • Sustainable power systems
  • Green energy technologies
  • AI and data science for energy systems

10. Emerging Technologies and Interdisciplinary Applications

  • Digital twins
  • Industry 4.0 and Industry 5.0
  • Smart manufacturing
  • Autonomous systems
  • Intelligent robotics
  • Human–machine interaction
  • Edge AI and TinyML
  • Generative AI for engineering applications
  • Digital transformation
  • Smart cities and intelligent infrastructure
  • Engineering decision-support systems
  • Data-driven cyber-physical systems
  • Emerging computational and intelligent engineering technologies