IRO Journals

Journal of Electrical Engineering and Automation

Integrated Renewable Energy Management System for Reduced Hydrogen Consumption using Fuel Cell
Volume-3 | Issue-1

Design of Effective Smart Communication System for Impaired People
Volume-2 | Issue-4

Artificial Intelligence based Business Process Automation for Enhanced Knowledge Management
Volume-3 | Issue-2

Comparative analysis of Direct and Indirect Model Reference Adaptive Control by Extended Kalman Filter
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

DESIGN OF WIND TURBINE SYSTEM INTEGRATED WITH BATTERY ENERGY STORAGE SYSTEM
Volume-1 | Issue-2

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Flexibility Management in Renewable Energy Source Operated Power Systems using Decision Support System
Volume-2 | Issue-1

Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules
Volume-2 | Issue-4

Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2

ENHANCED WIRELESS POWER TRANSFER SYSTEM FOR IMPLANTABLE MEDICAL DEVICES
Volume-1 | Issue-1

Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2

A DYNAMIC ROUTING MODEL FOR HYBRID ELECTRIC VEHICLES
Volume-1 | Issue-1

Optimal Wireless Smart Grid Networks Using Duo Attack Strategy
Volume-2 | Issue-2

Intelligent Automation System for Smart Grid Renewable Energy Generation on Climatic Changes
Volume-3 | Issue-3

Extract maximum power from PV system employing MPPT with FLC controller
Volume-1 | Issue-4

Review on IoT based smart grid architecture implementations
Volume-1 | Issue-1

Design of Hybrid Energy Management System for Wireless Sensor Networks in Remote Areas
Volume-2 | Issue-1

Remaining Useful Life (RUL) estimation of lead acid battery using bayesian approach
Volume-2 | Issue-1

Google Scholar data - July 2022 h-index

Journal of Electrical Engineering and Automation


Editor-in-Chief: Dr. Subarna Shakya

ISSN: 2582-3051
4 issues per year
https://doi.org/10.36548/jeea
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Journal of Electrical Engineering and Automation (JEEA) is an archival of novel research contributions in the areas of electrical engineering with a primary focus on smart grid technologies to power systems, electrical circuits and systems, microgrids, electric vehicles, electrical machines and drives, robotics and automation systems, system modeling and identification.

Th journal covers two strongly related research areas including electrical systems and automation. To broaden the scope of the journal, it is also extended to publish the high quality and state-of- the-art articles contributing new research results on theory, design, and applications in all technical areas of robust control systems, vehicular technology, artificial intelligence, instrumentation and power systems. Papers focusing on novel methodologies and implementations, innovative and smart electrical engineering approaches are particularly solicited, but are not limited to the topics listed above.

  • Concentrates on electrical and power engineering paradigms, such as smart systems, system planning, and energy distribution.
  • Combines theoretical and empirical developments on highly promising themes of electrical engineering domain.
  • Provides an interdisciplinary forum for automation, robotics and control theory.
  • Coverage can also be extended to the convergence of electrical engineering and intelligent information systems.

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