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134 articles for “utility grid”
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Demand Side Load Management Using Intelligent Metering/Billing System
Abstract: Regular power framework is progressing from the integrated supply side administration to the decentralized supply and demand-side administration, because of the continuous power sources in the reconstruction of intensive structures and era (DG) and Smart Grids (SG) or smart distribution system (SDS) With the past two decades. Accordingly load the board under the new working condition turns out to be more troublesome than that under the customary condition. This paper …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 2, 2019 · pp. 17–21 Read article
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Autonomous 6G Physical Layer Architectures for Space-Air-Ground Integrated Networks
Abstract: The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models. As communication infrastructures evolve into Space- Air-Ground Integrated Networks (SAGIN), traditional physical layer (PHY) techniques struggle to operate effectively under the severe Doppler effects and long propagation delays associated with space environments. This paper examines the role of artificial intelligence embedded directly within the 6G transceiver architecture to enable ultra-reliable and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 · pp. 21–31 Read article
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Smart Grid Energy Saving Technique Using Machine Learning
Abstract: The energy authorities provided the computation at reasonable rates for straightforward congestion management. By giving the specific information needed for energy use that is aimed towards client demands, the microgrid enables significant energy cost reductions & better power cash reserves. Processing data and producing predictions for a developing electrical system would be difficult, nevertheless, given the analysis that has been done and the population's characteristics. A Deep Learning (DL) Electricity …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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A Review on Internet of Things and its Applications
Abstract: AbstractWe are entering a new age of technology in computing, i.e. From the Internet of Things (IoT). In the cloud, the IoT is a kind of universal global neural network that links different things. In order to address this new challenge, the IoT is an intelligently connected device and system consisting of smart machines that interact and communicate with other machines, environments, objects and infrastructures, and Radio Frequency Identification (RFID) …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
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Design and Simulation of Improved Multilevel Inverter For Solar Photovoltaic Applications
Abstract: The energy is extending rapidly, anyway will stand up to the modernization of India and fiscal turn of events, further reviving the pace of the test, especially considering the improvement of India's basic amassing approach needs. Starting late, influence age has extended rapidly, yet the business is filled by neighborhood dispersion associations, circulation frameworks and transmission frameworks, and the cash related condition is moderate and convincing. The display of photovoltaic …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 2, 2020 · pp. 34–46 Read article
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Predicting diabetes status using ensemble algorithms with hyperparameter tuning
Abstract: Diabetes is a condition in which the body is unable to produce enough insulin to keep blood sugar levels under control. If diabetes is not properly identified and treated, it can lead to kidney failure, nerve damage, blindness, and coronary heart disease. A healthy lifestyle, therefore, depends on the early identification of diabetes diseases. However, it can be difficult to assess a person's diabetic status if they live in remote …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 1–9 Read article
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Unoccupied Floor Extraction in Autonomous Mobile Robot Navigation
Abstract: AbstractConsidering the today’s atomization need, autonomous mobile robot navigation and arena exploration becomes most substantial research area. The majority of navigational issues are robot localization, on floor objects localization, deciding strategy for navigation. This paper address the method used to explore empty floor detection implemented on raspberry pi 3 which assistances autonomous mobile robot in terms of localization during safe navigation. The literature shows most of the localization algorithms uses …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 41–44 Read article
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UTILIZATION OF INDUSTRIAL AND MUNICIPAL WASTE MATERIALS IN SOIL STABILIZATION OF RURAL ROADS: A REVIEW
Abstract: In India, the growth of rural sector directly depends on the road connectivity, which provides the platform and sustainability for economic activities in rural areas. However, difficult topography and unstable geology make the rural road constructions hard. Therefore, the locally available waste materials can be utilized to improve the soil characteristics and can promote the low cost road construction. The present Study is aimed to review the improvement of engineering …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 40–44 Read article
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Optimizing Residential Energy Costs with PEV-based Energy Storage and Particle Swarm Optimization
Abstract: This research addresses the critical challenge of optimizing electrical energy usage amidst the increasing integration of variable renewable energy sources and the widespread adoption of electric vehicles (EVs). The core objective is to alleviate the energy cost burden for residential consumers by leveraging the capacity of Plug-in Electric Vehicles (PEVs) as an auxiliary energy source. Through innovative utilization of PEVs for both charging and discharging actions based on dynamic electricity …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 3, 2024 · pp. 19–29 Read article
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A Review on Computational Fluid Dynamics
Abstract: Computational Fluid Dynamics (CFD) seems to be a program that utilizes mechanics, computational mathematics, and computer science technologies to model and simulate how fluid that’s also, gas or liquid, flows. Descriptive and analytical forecasts may be integrated with the aid of CFD, which utilizes computational mathematics methods, computational programming and networking tools to create, grasp, build and then forecast the necessary possibilities. This paper would address a list of concerns …
Published in Journal of Aerospace Engineering & Technology · Vol. 10, Issue 3, 2020 · pp. 1–6 Read article
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McEliece Cryptosystem based User Authentication Scheme in Fog Computing Environment
Abstract: AbstractIn the recent past, the notion of Internet of Things has gained tremendous pace worldwide. IoT provides several services for the ease of human life in several significant areas such as health care, logistics, power grid etc. To keep these devices connected in an efficient network, the concept of Fog network has taken precedence over all other network architectures. Fog network has taken the services provided by a centralized cloud …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 1, 2019 · pp. 17–23 Read article
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A Novel Feature Level Fusion Method for Classification of Remote Sensing Images
Abstract: Feature level fusion approach is utilized in this paper to classify remote sensing images. Texture features are extracted from panchromatic images using mixed Gabor filter (GB), fast gray level co-occurrence matrix (GLCM) and linear binary pattern (LBP). The resultant texture features are classified using nearest neighbor (k-NN) classification method. Spectral features are extracted from the MS image and segmented using over segmented k-means algorithm with novel initialization (OSKNI). Finally the …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 1, 2019 · pp. 58–65 Read article
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Role of Satellite Data Assimilation on ERA-Interim and ERA5 Wave Parameter Ratios – A Case Study based on Year-long In-Situ Observations in the Bay of Bengal
Abstract: The rapid decline in the energy resources forced mankind to tap other forms of natural energy resources in the light of exponential increase in the demand due to over-population. The energy from ocean waves is one of the cleanest sources of energy available perennially that changes seasonally and is site-specific. To assess the wave power potential at any site, knowledge of the wave parameters such as wave height, period and …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 1–20 Read article
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Petroleum Geothermal energy and process of mines extract
Abstract: Mining consumes a lot of energy, and because so much money is spent on fuel and energy transportation, energy costs are particularly expensive for remote mines that are off the grid. The necessity to switch to greener power sources to lessen its environmental impact is becoming increasingly clear to the mining industry as well. Geothermal energy is a crucial, albeit frequently underutilized, energy source for the mining sector as it …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 35–40 Read article
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Closed Loop Control of Multi Level Inverter Tied with 415 V AC Source Using SV-PWM for Renewable Energy
Abstract: In this work, 415 V AC source is interfaced with three-level diode clamped inverter in which renewable energy source is used as a DC source, solar energy is used which is most popular renewable energy source. The obtained DC from the solar irradiation is fed to MPPT (Maximum Power Point Tracking) to utilize voltage at maximum power (DC). The perturb and observe technique is used in this work to track …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 55–65 Read article
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Solar Wireless EV Charging System
Abstract: This project presents a Solar Wireless Electric Vehicle (EV) Charging System that integrates solar energy with inductive wireless power transfer (WPT) to achieve a sustainable and eco-friendly charging approach. The proposed system utilizes a 12V solar panel as the primary renewable energy source, which charges a 3.7V lithium-ion battery through a transistor-based control circuit. This stored solar energy then powers the primary coil, generating an alternating magnetic field that enables …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 14–20 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Mechanical Characterization of Untreated Banana Fiber Reinforced PLA Bio-Composites Manufactured by 3D Printing
Abstract: This study investigates the development and mechanical characterization of fused deposition modeling (FDM) filaments utilizing polylactic acid (PLA) reinforced with untreated banana fibers (BF). To address the brittleness of pure PLA and valorize agricultural waste, composite filaments with fiber loadings of 0, 1, 3, and 5 wt.% were fabricated using a single-screw extruder. A Taguchi L16 orthogonal array was employed to optimize printing parameters, including fiber percentage, raster angle, infill …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article