Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Journal Archive

The reviewers of 2025

Number of Volumes 3
Number of Issues 8
Number of Articles 58
Number of Contributors 130
Article View 46,779
PDF Download 23,455
View Per Article 806.53
PDF Download Per Article 404.4
Submission statistics
Number of Submissions 111
Rejected Submissions 42
Accepted Submissions 58
Acceptance Rate 52
Time to Accept (Days) 54
Number of Indexing Databases 8
Number of Reviewers 847

 

 

Quarterly Journal of Power, Control, and Data Processing Systems (PCDP) is an international peer-reviewed and open-access journal aiming at providing a platform for researchers and practitioners in the fields of electrical and computer sciences to find original research. The journal encourages researchers to submit their original and unpublished manuscripts that are not under review in any other journal to us. This journal accepts papers in the areas of Power Electric, Control, Data Processing, and Computer Sciences.

This journal is fully sponsored by Qom University of Technology.

Power, Control, and Data Processing Systems (PCDP)© 2024 by Qom University of Technology is licensed under  Attribution 4.0 International (CC BY 4.0).

  • Open Access: Yes
  • Article types: Research papers, Review paper. 
  • Primary Review: 7 days, Approximately.
  • First-Round Review Time: Approximately 30 days
  • Time to Acceptance: Approximately 60 days
  • Peer Review Policy: Single-blind peer-review
  • Number of reviewers per article: At least 2 reviewers

Power, Control, and Data Processing Systems (PCDP) fulfill the definition of open access. The full text of all content must be available for free and open access without delay. No embargo period, no requirement for users to register to read content. A charge for the print version of a journal is permitted.

Article Processing Charges (APC)

Article Submission Fee: 0.00 (USD)
Authors are not required to pay an Article Submission Fee as part of the submission process.

Article Publication Fee: 0.00 (USD)
Authors are not required to pay an Article Publication Fee.
The reviewing process is completely free of charge.

 All submitted articles will be screened for similarity using iThenticate. All submitted articles will be screened for similarity using iThenticate. The maximum allowable overall similarity is 20%, with no more than 5% similarity to any single source.


The PCDP journal is committed to following best practices on publication ethics. These policies are based on the Core Practices from the Committee on Publication Ethics (COPE). These policies must be read in conjunction with the PCDP’s Author and Reviewer Guides which can be found through the website homepage.

Scientific Associations Supporting the Journal

Energy Management Research Center

 

Most Visited Articles
Designing a Grid-Connected Hybrid Micro-Grid: A Case Study in Hamedan
Comprehensive Review of Cutting-Edge Lithium Battery Technologies Highlighting Nanotechnology, Safety Improvements and Sustainability
Emerging Trends and Advanced Techniques in Power System Optimization for Future Smart Grids
The Formulation of a Linear Quadratic Regulator (LQR) for a System Characterized by Partial Differential Equations (PDE) Utilizing Reinforcement Learning Technique
Integration of Artificial Intelligence and Blockchain: Combining Two Transformative Technologies in Iran's Power Sector
Empirical Evaluation of Well-known Farsi OCR Engines on the IDPL-PFOD Dataset
Enhancing Power Quality in Distribution Networks Integrated with Distributed Generation Sources Using MOPSO and Soft Open Points (SOPs)
Current Issue: Volume 3, Issue 3, Summer 2026 

A Voltage-Aware Operational Model for Active Distribution Networks with Energy Storage Systems

Pages 1-9

10.30511/pcdp.2026.2082659.1061

Javad Kazeman Seghin Sara, Kamran Taghizad-Tavana, Mohsen Ghanbari-Ghalehjoughi, Hassan Niazi, Mehrdad Tarafdar Hagh

Keywords Cloud

  • Renewable Energy
  • Uncertainty
  • Deep Learning
  • Renewable energy sources
  • Transfer learning
  • Multi-objective optimization
  • Demand Side Management
  • Reliability
  • Demand Response Program
  • Machine Learning
  • artificial intelligence
  • Solar Energy
  • Blockchain
  • Power Quality
  • Game Theory
  • Permanent magnets
  • ECR plasma
  • RPCD-based controller
  • Generative adversarial network
  • Robust Aggregation
  • Random Forest
  • CFD
  • Photovoltaic array faults
  • TRNSYS software
  • Biogas
  • Smart cities
  • Array Faraday-Cup
  • Hybrid Power Plant
  • Electrical load prediction
  • Security System
  • Catastrophic Forgetting
  • Voltage Regulation
  • Contingency Reserve
  • Cybersecurity
  • Switching cell
  • Farsi OCR
  • convolutional neural network (CNN)
  • hybrid power system
  • renewable energy system
  • collaborative mechanism
  • Semi-supervised learning
  • Social networks
  • Long short-term memory (LSTM)
  • techno-economic optimization
  • Unit commitment
  • Breast Tumor Segmentation
  • Mixed integer linear programming(MILP)
  • Energy Storage
  • Black start
  • Levenberg–Marquardt Algorithm
  • Time-Delay Cerebellar Model Articulation Controller (TD-CMAC)
  • sector coupling
  • multi-carrier
  • Biometric Authentication
  • Smart network
  • octave convolution
  • Time Series Forecasting
  • Automatic Lighting Control
  • Flexible Distribution Networks
  • and sudden energy production
  • Energy Storage System (ESS)
  • Expected Energy Not Supplied
  • API-based SDN
  • SCAPS simulation software
  • Household Appliances
  • Glow discharge plasma
  • Optical emission spectroscopy
  • Soft open points
  • State Estimation
  • Plasma focus device
  • multi-energy system
  • IEEE 118-bus system
  • Energy Security and Efficiency
  • Ultrasonic imaging
  • Index Terms: Demand Response
  • Electric Spring
  • Smart Load
  • Hybrid SDN
  • Fault diagnosis
  • voltage unbalance
  • Emotion Recognition
  • PSO algorithm, inertial stabilization system
  • Smart grid (SG)
  • BDFIG
  • Renewable Integration
  • Wind Power Integration
  • Power System Optimization
  • Robust neural architectures
  • Unit aggregation
  • load forecasting and planning
  • Microgrid
  • Total focusing method
  • Diversified Input U-Net
  • Stabilization
  • Linear Quadratic Regulator
  • Non-isolated converters
  • Phasor Measurement Unit
  • Multi￾junction solar cell
  • lithium-ion battery (LIB)
  • HOMER analysis tool
  • nonlinear programming
  • Multi-Layer Perceptron (MLP)
  • Federated Learning Security
  • Home Energy Management System (HEMS)
  • Fuel cell electric vehicle
  • Renewable Energy Integration
  • Economic Analysis
  • AVR ATmega32 Microcontroller
  • Optimal operation
  • Rough Gaussian Neural Network (RGNN)
  • Sensor-Cloud Infrastructure
  • active materials
  • gimbal
  • Total Harmonic Distortion
  • line of sight
  • Energy storage system
  • image processing
  • Weighting Factor
  • Microgrids
  • Antenna
  • COMSOL
  • Recurrent network
  • Integrated Energy System
  • Distributed Learning
  • Partial Differential Equation (PDE)
  • Tesseract
  • Coronavirus
  • Multi-Energy Systems
  • Nanotechnology
  • Particle Swarm Optimization (PSO)
  • Energy Storage Systems
  • Photovoltaic System
  • Locational Marginal Pricing (LMP)
  • Restricted Boltzmann Machine
  • multi-criteria decision making
  • Computerized Tomography (CT) Scans
  • Ion Beam
  • MPC
  • Line charging mode
  • Convolutional neural network
  • Minimum Variance
  • Energy Hub System
  • Plasma processing
  • Hybrid Neural Network
  • Optimization
  • Environmental and Economic Analysis
  • Linking constraints
  • Interrupted Energy Assessment Rate
  • microgrid operation
  • payback period
  • Water desalination
  • Finite-time Stability
  • management of defective cells
  • Battery energy storage system
  • Industry 5.0
  • Link prediction
  • Renewable resources
  • CO2 emissions
  • Thermal Storage Systems
  • Principal Component Analysis
  • Multi-microgrid
  • Self-healing
  • internet of things
  • Silicon Solar Cell
  • Distribution System
  • Flow chemistry
  • microreactor design
  • Groundwater resources
  • Short-term Load Forecasting (STLF)
  • Power systems
  • Stark broadening
  • Lithium battery
  • self-organizing networks
  • multi-band
  • Fault detection techniques
  • ArtificialIntelligence
  • Model Poisoning
  • Extended State Observer
  • pressure parameter
  • On-grid
  • Net Present Cost
  • Power factor
  • Power System restoration
  • Building energy
  • photovoltaic panels
  • Adversarial Attacks
  • Resilient Frequency Control
  • Power Loss
  • External validation
  • optical character recognition (OCR)
  • resilience
  • Support Vector Machine
  • Phase shifting transformer
  • Automatic Climate Control
  • Reinforcement Learning
  • MIMO
  • Keywords: Energy hubs
  • voltage source converters
  • Tractable unit commitment
  • Resource Allocation