Electrical Engineering
Journals
- International Journal of Electrical Power and Machine Systems 39 articles
- International Journal of Advanced Control and System Engineering 43 articles
- International Journal of Electrical Machine Analysis and Design 39 articles
- Trends in Electrical Engineering 262 articles
- Journal of Control & Instrumentation 233 articles
- International Journal of Electrical and Communication Engineering Technology 40 articles
- Journal of VLSI Design Tools and Technology 297 articles
- Journal of Power Electronics and Power Systems 265 articles
Recently published
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Optimized Household Energy Management System for Demand Response using DFDGCN- BWWPO Technique
Abstract: Energy management in smart homes is becoming one of the main requirement because of fast growth in electricity demand, renewable sources, and electric vehicles. A proper household energy management system not only reduce the energy cost but also help to maintain stability of power grid. Demand Response (DR) program play very big role in this process by shifting or controlling the load according to price and availability of renewable power. …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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Maximum Power Point Tracking of PV, Wind System Using Deep Learning Approach
Abstract: The mixing of renewable liveliness fonts, especially photovoltaic (PV) and gale schemes, has faster due to the rising call for fresh and supportable liveliness on a total rule. In the extended lane, these bases are cheap, copious, and naturally kind. Yet, they are basically irregular and nonlinear unpaid to them from top to bottom trust on ecofriendly variable star like fever, gale rapidity, and astral irradiance. Extreme Power Point Tracking …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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AI-BASED SMART RESOURCE DEMANDAND PRICE PREDICTION USING MACHINE LEARNING FOR EFFICIENT RESOURCE MANAGEMENT
Abstract: AI and machine learning models now help manage resource supplies and price changes across key Indian markets. The development and application of advanced predictive analytics in India's agriculture supply chain and wholesale energy market systems are examined here. Although agriculture occupies over 40% of India's land area, it accounts for approximately 15–18% of the national Gross Domestic Product (GDP). In order to regulate the PDS, unify land information, and optimize …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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Harmonic Minimization and Voltage Boosting In PV-based Multilevel Inverter Using Advanced Deep Learning Approach
Abstract: The integration of photovoltaic (PV) systems with multilevel inverters has gained significant attention due to their capability of producing smooth output waveforms with fewer distortions. However, conventional modulation and optimization techniques often face limitations in minimizing total harmonic distortion (THD) while simultaneously improving voltage levels under varying solar irradiance conditions. To address these issues, this work proposes an advanced deep learning-based framework for harmonic minimization and voltage boosting in PV-driven …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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LightGBM-Based Grid Demand Estimation and Prediction for Intelligent Electricity Load Forecasting
Abstract: Correctly predicting electricity demand in emerging energy markets like India is the most effective way to maintain grid stability. This is particularly important. This article offers a comprehensive data- based structure that captures both the broad temporal dynamics and regional diversity. This technique utilizes a large-scale multi-dimensional feature space that includes temporal indicators, autoregressive lag terms, sliding-window rolling statistics, and state-level administrative markers. Our systematic benchmarking approach involves the use …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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Design and Implementation of Onboard Electric Vehicle (EV) Charging System
Abstract: Increasingly more electric vehicles (EVs) are being used, resulting in a higher demand for an onboard EV or onboard charging system that is efficient and safe, and that also will provide reliable performance for EVs under different conditions. A large percentage of currently developed onboard EV chargers do not include integrated smart controls and/or have no ability to monitor in real-time; therefore, the onboard EV will be operating at reduced …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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ENERGY CONSUMPTION MONITORING WITH A MOBILE APPLICATION
Abstract: Energy consumption monitoring via mobile applications has emerged as a crucial paradigm in modern smart grids and Internet of Things (IoT) frameworks, enabling real-time visibility and proactive energy management for end consumers. By bridging hardware sensors, wireless communication protocols, cloud analytics, and interactive mobile interfaces, these systems transform raw electrical telemetry into actionable insights. This technology addresses critical challenges such as peak demand management, energy inefficiency, phantom power loss, and …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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Quantum-Inspired Optimization of Multi-Level Power Converter Switching Sequences for Harmonic Reduction
Abstract: The increasing adoption of multilevel power converters in renewable energy systems, electric vehicles, and smart grid applications has created a growing demand for advanced switching optimization techniques capable of minimizing harmonic distortion while maintaining high conversion efficiency. This paper proposes a Quantum-Inspired Optimization (QIO)-based switching sequence generation framework for multilevel power converters to achieve superior harmonic reduction and enhanced power quality. The proposed approach utilizes quantum-inspired probability representation and evolutionary …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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Reactive power compensation in modern power system using advanced control: A comprehensive survey
Abstract: Reactive power management is really important for keeping voltage steady, improving the quality of electricity, reducing energy loss during transmission, and ensuring modern power systems work well. As more renewable energy sources, power-electronic loads, distributed energy resources, and weak-grid conditions are added to the power system, it's becoming harder to use old methods for controlling reactive power. Flexible AC Transmission System (FACTS) devices, especially Static VAR Compensators (SVCs) and Static …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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Advanced Energy Management in Distribution Substations Incorporating Energy Storage and Demand Side Management for Increased Profitability
Abstract: In recent years, energy system going very complex because of more renewable sources, electric vehicles, storage devices and smart consumer demand. Old distribution grid cannot handle this complexity properly. For this reason, many researchers work on new energy management systems, home energy control, distributed control, and advanced distribution management. Many papers study about home energy management for flexible use of energy, predictive grid operation, and demand response. Some papers give …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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Smart Electric Fence: A Deep Learning-Based Intrusion Detection System
Abstract: Intrusion of humans and wild animals into protected areas such as forest boundaries and agricultural lands poses significant challenges in terms of safety and resource management. Conventional electric fencing systems operate continuously without distinguishing the type of intrusion, leading to inefficient energy usage and potential harm to wildlife. The design and partial implementation of an intrusion detection system for smart electric fence based on deep learning are presented in this …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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Real-Time Fault Detection and Diagnosis in Switched Reluctance Motor Using Advance Deep Neural Network for Electrical Vehicles and Industrial Applications
Abstract: In today world, electric motor play very big role in industry and daily life. Switched reluctance motor (SRM) is one of the important types of motor because it is simple in construction, low cost and high efficiency but SRM also faces many problems like noise, vibration and fault in power converter or winding. When these faults come, performance of motor goes down and sometime full system stops working. To solve …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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Autonomous Delivery Drone or Vehicle Fleet Managerial System
Abstract: This review presents a clear conceptual framework for an autonomous delivery drone / vehicle fleet managerial system, emphasizing Artificial Intelligence (AI), Machine Learning (ML), Electrical and Electronics Engineering, and operational safety. The proposed architecture receives delivery requests, checks payload and route feasibility, assigns a suitable drone or ground vehicle, predicts travel time and energy demand, monitors missions through telemetry, and re-plans when traffic, weather, battery state, or vehicle availability changes. …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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An Intelligent IoT-Based Approach for Smart Grid Monitoring and Fault Detection
Abstract: The modernization of power systems has led to the development of smart grids, integrating advanced communication and control technologies. This study presents an Internet of Things (IoT)- based smart grid monitoring and fault detection system. The proposed system includes sensors, microcontrollers, and cloud platforms that will be used to monitor the parameters of the grid, including voltage, current and frequency. Fault detection is achieved through threshold based and data analytics …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Controlled Temporal Feature Ablation and Explainable Ensemble Learning for Next- Hour Residential Electricity Forecasting
Abstract: Short-term residential load forecasting is increasingly used in demand response, home energy management, and data-driven grid operation, yet reported gains are often difficult to attribute to either the forecasting algorithm or the temporal representation supplied to it. This study presents a controlled, leakage-aware evaluation of temporal feature engineering for one-hour-ahead household electricity forecasting. The public UCI Individual Household Electric Power Consumption dataset was aggregated to hourly resolution, causally imputed using …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 Read article
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Hopf Bifurcation–Driven Chiral Amplification in an Oregonator-Based Oscillatory Chemical System with Optimal Control of Time-Scale Separation
Abstract: Nonlinear chemical systems exhibiting oscillatory kinetics and symmetry-breaking behavior have been widely studied in the context of reaction–diffusion chemistry and crystallization processes. However, the interaction between oscillatory dynamics and chiral amplification mechanisms remains insufficiently understood within a unified dynamical systems framework. This work aims to develop and analyze a reduced-order nonlinear model that couples an Oregonator-type activator–inhibitor system with a chiral response variable, and to investigate the role of Hopf …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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Total Laboratory Automation in Resource-Constrained Settings: Cost-Effectiveness, Workflow Transformation, and Quality Outcomes
Abstract: Total laboratory automation (TLA) has emerged as a transformative approach to enhance efficiency, quality, and safety in clinical laboratories. By integrating automated pre-analytical, analytical, and post-analytical processes, TLA has the potential to reduce errors, shorten turnaround times, and optimize resource utilization. However, the adoption of TLA in resource- constrained settings remains limited due to high capital investment requirements, infrastructural challenges, and workforce adaptation barriers. This review examines evidence on the …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 3, 2026 Read article
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IoT-Based Smart Solar Wireless Electric Vehicle Charging System with Integrated Safety Monitoring
Abstract: The rapid development of Electric Vehicles (EVs) has given a boost to the need to provide an efficient, reliable, and sustainable Electric Vehicle Charging Station. Conventional Electric Vehicle Charging Systems use grid power as their primary source, which is generally non-renewable. This might reduce the advantages of electric vehicles for the environment. Moreover, conventional Electric Vehicle Charging Systems may put additional pressure on power distribution networks. This research suggests an …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 2, 2026 Read article
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A Review on Smart Parking System
Abstract: The Smart Parking System is an intelligent solution designed to reduce traffic congestion and save time by efficiently managing parking spaces using modern technology. To determine if a car is there or not, sensors are placed in each parking space in this system. The collected sensor data is processed by a microcontroller and transmitted to a display unit or mobile application, enabling users to access real-time information about parking availability. …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Grid-Connected Wind-Solar Hybrid System Analysis Using ETAP
Abstract: The Increasing integration of renewable energy sources in practice needs a thorough electrical performance assessment to guarantee reliable and stable operation of grid system. This work focuses on the modeling, simulation, and steady-state performance analysis of grid-connected wind-solar hybrid system through ETAP 19.0.1C. The suggested configuration is composed of 34.5 kV utility grid, eight units of wind turbine generators whose total installed capacity is 2.55 MW, six photovoltaic arrays, one …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article