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142 articles for “Intelligent Power and Energy systems”
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DESIGN AND IMPLEMENTATION OF AN ARDUINO-BASED WIRELESS POWER CONSUMPTION MONITORING AND CONTROL SYSTEM
Abstract: The increasing demand for electricity and the inefficiencies associated with traditional metering systems necessitate the development of advanced solutions for monitoring and controlling power consumption. This study presents the design and implementation of an Arduino-based wireless power consumption monitoring and control system aimed at providing real-time feedback and efficient energy management. The system incorporates the Arduino Uno R3 microcontroller, ACS712 current sensor, relay module, and Ethernet shield to enable accurate …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 19–31 Read article
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Adaptive Neuro-Fuzzy Inference System (ANFIS) Control for Total Harmonic Distortions Reduction of Multi-Pulse STATCOM
Abstract: In this paper proposed ANFIS System is adapted for controllable mitigation of Total harmonic distortions of STATCOM with Multiple pulse technology. Integrated power electronics device, Gate Turn Off (GTO) is used in switching mode with Voltage source convertor during application of distinct load conditions. The proportional and integrated Controller is replaced by a smart fuzzy logic controller that offers great support for harmonic mitigation by redefining the electrical magnitudes of …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 2, 2022 · pp. 17–31` Read article
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Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Integration of EV charging with Renewable Energy
Abstract: The integration of electric vehicle (EV) charging with renewable energy (RE) sources presents a promising path toward sustainable transportation and energy use. As the global adoption of EVs accelerates, traditional charging methods relying on fossil fuels pose challenges to achieving environmental goals. This paper explores the potential of integrating RE sources, such as solar, wind, and hydroelectric power, with EV charging infrastructure to reduce greenhouse gas emissions and optimize energy …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 1–8 Read article
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Recent Innovations in Semiconductor Materials for Smart Electronic Devices
Abstract: Recent advancements in semiconductor materials have significantly transformed the design, performance, and functionality of smart electronic devices such as smartphones, wearable systems, IoT devices, autonomous systems, and biomedical electronics. With the continuous demand for higher processing speed, lower power consumption, improved thermal stability, and extreme miniaturization, traditional silicon-based semiconductor technology is facing major limitations. As device dimensions shrink to the nanometer scale, challenges such as leakage current, heat dissipation, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Study of Energy Efficiency in IoT Devices
Abstract: The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, yet its growth presents significant energy efficiency challenges. This paper explores strategies to address these challenges by investigating energy harvesting techniques and low-power communication protocols. Energy harvesting methods, including solar, kinetic, and thermal energy, offer sustainable alternatives to traditional battery-powered IoT devices, reducing dependency on non-renewable resources and enabling longer operational lifetimes. Simultaneously, low-power …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 34–40 Read article
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Design of SCADA and PLC Program for Raw Material Handling of TPS (Thermal Power Station)
Abstract: The power industry in India has now entered new era of large power generations and highly automatic control system. In today’s era the SCADA has played a very auspicious role in power generation industry because of its worldwide adaptability, extendibility, flexibility etc. The huge advancement in SCADA most of industries has jumped into automation field because of its big market. SCADA systems having both hardware and Software components. DMS offers …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 46–50 Read article
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Green and Edge-Aware Computing: Rethinking Cloud Infrastructure for Sustainability
Abstract: Cloud computing has transformed the way organizations access and manage information technology resources, providing flexible, scalable, and cost-efficient services that support today’s data-driven world. Despite these advantages, the rapid expansion of large-scale cloud infrastructures has resulted in rising energy consumption, significant heat generation, and a growing environmental footprint. This research focuses on advancing green cloud computing by examining methods that reduce power usage while maintaining high performance. Key strategies include …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 17–24 Read article
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Smart Car Parking System with ALS Sensor using myRIO
Abstract: This project deals with the design of an intelligent car parking monitoring system utilizing ultra-sonic sensor, DC motor where as an ambient light sensor using myRIO controller in LabVIEW. The system focuses on low power sensor based system, designed to monitor the number of vehicles entering the parking and to control the light intensity required for sufficient lighting in the parking area. The system is designed to be implemented in …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 2, 2016 · pp. 35–41 Read article
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LoRa and LoRaWAN in the IoT: Performance, Challenges, and Future Opportunities
Abstract: This paper provides a broad overview of both LoRa and LoRaWAN technologies in the context of Internet of Things (IoT). The market need for communication technology to be low-power and long-range continues to grow, and LoRa and LoRaWAN are emerging as viable options for enabling widespread IoT applications in a variety of applications. This review offers structured and comparative assessment of their functionality in different environments, such as urban, rural, …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 2, 2026 Read article
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The Study on Energy-Efficient Context-Aware Architecture for Wired or Wireless Communication System
Abstract: The ever-increasing technical developments in the engineering of embedded systems, along with The proliferation of small sensor design and implementation has allowed mobile devices (e.g. Smartphones) understand everyday human acts, events and experiences. Consequently, inferring a wide spectrum of mobile application user-based behaviours from a very diverse background gathered from a collection of sensory measurements has attracted a great deal of attention in the field of ubiquitous sensing science. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 3, 2020 · pp. 1–8 Read article
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Advancing IoT Connectivity through Very Large-Scale Integration of Semiconductor Technology
Abstract: The term "integrated circuit" as it is currently used typically refers to a monolithic IC, which is significantly different from an HIC in that the former is created by joining several components on a substrate, while the latter is created in a sequence of steps using a single wafer that is subsequently divided into chips. Hybrid chips are perfect for complicated applications in sectors like artificial intelligence (AI), the Internet …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 54–63 Read article
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Neuromorphic Self-Learning Polymer–MXene Photovoltaic Composites with Embedded Memristive Energy Routing for Adaptive Solar Energy Harvesting
Abstract: This dynamic and fast-growing intelligent renewable energy system requires photovoltaic materials that can autonomously adapt to fast-changing environmental conditions. In this study, a novel system is proposed for adaptive harvesting of solar energy based on Neuromorphic Self-Learning Polymer–MXene Photovoltaic Composites (NSPMPCs) with embedded memristive energy routing networks. To boost the charge generation and charge transport in the polymer–MXene heterostructure, the flexibility and processability of conductive polymers are integrated with the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 453–488 Read article
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Graphene–Perovskite Hybrid Opto-Electronic Modulators for Ultra-Low Power Optical Communication
Abstract: This paper proposes a novel self-adaptive neuromorphic opto-electronic transceiver architecture designed to enhance the intelligence, adaptability, and efficiency of next-generation optical communication networks. The proposed system integrates neuromorphic computing principles with photonic signal processing to enable real-time learning, dynamic resource allocation, and autonomous compensation of channel impairments such as dispersion, nonlinearities, and noise. Unlike conventional transceivers, the developed model employs spiking neural networks embedded within opto-electronic circuits to mimic biological …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 41–52 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Smart Gallery Lighting System
Abstract: This paper proposes the energy efficiency of a smart gallery lighting system based on a low-cost microcontroller. The main objective is to design energy efficient based system for controlling the tube lights based gallery lamps via appropriate lighting based on movement. We aim to make a smart gallery lighting system that glows only when it is necessary and goes to the OFF position when it is not, in a very …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 2, 2021 · pp. 13–17 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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AutoGen Bike: A Self-Sustaining Smart Electric Bike with Integrated AI Safety Systems
Abstract: This is the paper which gives the information about the self-sustaining electric bike. This also tells the idea about how energy is produced during its usage. The “Auto gen bike” is the most useful aspect that can change the future of the electric bikes. This also helps in the conservation of natural resources and nature. This also helps in the accidents happening to the two-wheel vehicle. This is achieved by …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 41–49 Read article
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An overview of Technologies for the Smart Grid
Abstract: There is broad unanimity regarding the need to enhance the smart grid (SG). To deliver a reliable electricity supply, the SG combines electrical grids and communication infrastructures to create an intelligent electricity network. Numerous cutting-edge communication technologies with the potential to considerably raise the general effectiveness of power grids have been identified for SG applications. The challenges and uses of communication technology in Singapore are covered in this study. Three …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 25–36 Read article