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654 articles for “Energy modeling”
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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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Tri-Band Edge-Cut Rectangular Microstrip Patch Antenna on Composite Substrate for RF Energy Harvesting in IoT Networks
Abstract: The increasing use of Internet of Things devices underscores the pressing need for sustainable energy solutions, since traditional batteries necessitate regular replacement and constrain scalability. Radio frequency energy harvesting is a viable option; nonetheless, antenna design continues to provide a significant problem owing to the requirements for compactness, efficiency, and multi-band functionality. A hybrid composite substrate configuration combining FR4 (εr = 4.3) and RT Duroid (εr = 2.2) is employed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–883 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 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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Experimental, Analytical and Numerical Study of Energy Absorption Properties of Aluminum Crush Boxes with and without Buckling Initiators (Axial Loading)
Abstract: The crashworthiness in automobile is stated as the capability of a passenger car and its interior arrangements to safe-guard occupants from harm. Whenever an accident occurs, the passengers in the car can be injured due to one of the following reasons: (1) excess acceleration force; (2) physical injury from contact with injurious surfaces, and; (3) exposed to fire, smoke, and chemicals released during accidents. Thus effective crashworthiness design must take …
Published in Journal of Automobile Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
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Electric Vehicle Induction Motor Automated Drive System with Smart Battery Monitoring Performance for Range Exchanger
Abstract: This study describes the development of a model of an electric vehicle (EV) with a smart battery-powered inverter-controlled induction machine drive system. The computer simulation model in MATLAB Simulink is used to estimate the energy and power requirements of vehicles over standard driving cycles under various driving conditions. Here, using smart logic for battery performance, factors affecting range and energy use, helps to optimize maximum efficiency of battery and motor …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 1–7 Read article
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Design and Implementation of BLDC Motor Driven Electric Vehicle Using MPPT Controller
Abstract: Minimal and medium power applications benefit greatly from BLDC motor efficiency, high torque-to-inertia ratio, large energy volume, low maintenance requirements and wide speed control range. Resistance found that by deleting phase current sensors and regulating the basic frequency switching of the voltage source inverter (VSI), the proposed control algorithm lowers power losses caused by high frequency switching. With Modern days fuel prices soaring so high for common people, electrical engineers …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 41–51 Read article
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Implementation of Renewable Energy Resource in 5-In-1 Agro-Machine
Abstract: Since agriculture is the backbone of Indian economy and above 70% of Indian people are depending on agriculture, the development of agriculture process takes a vital role. From few decades, even though improved agricultural machineries have been invented, they have not been reached. Agri-process is the most important endeavor in the world as it imparts about 8.4% to the total gross domestic product and provides employment to over 60 of …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 10, Issue 2, 2019 · pp. 35–39 Read article
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Travel Demand Management for Sustainable Urban Transport in Kuala Lumpur: Operation and Energy Consumption Issues
Abstract: A number of South-East Asian cities are experiencing rapid growth in car ownership and overall transportation demand in the context of relatively low fuel and road tax along with land use patterns that encourage private automobile trips. To address these challenges, sustainable transport initiatives, which often include travel demand management (TDM), are increasingly being promoted at the city level. This paper examines the effectiveness of TDM on reducing road traffic …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 23–37 Read article
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Load Sharing control Between Wind Energy & Diesel Generator
Abstract: AbstractThe disturbed expansion in energy request has represented a significant issue for the power frameworks security and dependability, and henceforth has happened to central issue. The weaknesses of ordinary wellspring of energy have cleared way for environmentally friendly power sources. The impact of the breeze turbine in the lattice framework concerning the power quality estimations are-the dynamic power, receptive power, variety of voltage, glint, sounds, and electrical conduct of exchanging …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 2, 2021 · pp. 37–47 Read article
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Design and Analyze of an International Common Grid to Mitigate Energy Crisis of Bangladesh
Abstract: In Bangladesh, the expected electrical power generation has not been increasing as demand for electrical power is growing fast as changing of civilization life. It has been well known that the electrical energy can be extracted more than local demand in China and Bhutan from the renewable energies such as wind energy and hydro power. To fulfil the demand of Bangladesh to lead modern life the electrical energy can be …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 44–57 Read article
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Integrated Perspectives on Fluid Mechanics and Energy Transport in Complex Flow Systems
Abstract: Fluid mechanics plays a central role in understanding the transport of mass, momentum, and energy in complex flow systems encountered in both natural and engineered environments. This review presents an integrated perspective on fluid behavior by combining fundamental principles with modern approaches to energy transport analysis. The study emphasizes the significance of conservation laws and their application to diverse flow regimes, including laminar, turbulent, compressible, and multiphase flows. Energy transport …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 22–31 Read article
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Artificial Intelligence and Machine Learning Applications in Optimizing Air Conditioning Systems
Abstract: The growing demand for air conditioning systems, especially in the wake of climate change and increasing global temperatures, has led to a significant increase in energy consumption. This, in turn, contributes to the growing concerns of environmental sustainability and operational costs. As a result, there is a pressing need for innovative solutions to optimize the performance and energy efficiency of air conditioning (AC) systems. Artificial Intelligence (AI) and Machine Learning …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 12–19 Read article
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A Review of Semiconductor Solar PV Cell and Development of Solar Radiation Estimation Models
Abstract: Today’s life could not be imagined without energy (Power). It has become an integral part of day to day life. Traditionally, dependency was there on conventional sources of energy like coal, hydroelectric etc. But they are limited resources; also, they offer residue or pollution to the environment which is not desirable. These are the main reasons that the researchers inclined themselves towards the maximum exploration and make optimal use of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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A Hybrid Model of Solar PV-Wind Power Generation System Using Solar Tracker at Home
Abstract: AbstractRenewable energy is naturally refilled on renewable sources; i.e. energy produced from wind, solar, biomass, hydropower, geothermal and ocean resources are considered as a technical option for generating clean energy. But the energy produced by wind turbines and solar is much less than that produced by fossil fuels. However, in recent years, the electricity generated by utilizing wind turbines and solar cells have been increased. This paper is the representation …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 10, Issue 1, 2019 · pp. 1–8 Read article
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Fracture Analysis of FRP Composites under Thermo-Mechanical Loads for Different Geometry Cutouts
Abstract: Fiber-reinforced composites (FRPs) are used extensively in structural and non-structural components of the aerospace and automotive industries. To utilize these materials for structural applications, it is necessary to understand the fracture behavior of the material. In the present investigation of carbon fiber laminates, studies were carried out to understand the fracture toughness characteristics of the carbon fiber laminates with mechanical, thermal, and thermo-mechanical loadings of modes I, II, and III. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Assessing Flow Pattern of Sabarmati River Portion at Hirpura Barrage Site Gujarat, India Using HEC-RAS Hydrodynamic Models and Physical Models
Abstract: A barrage is proposed to be constructed across river Sabarmati, 60 km downstream of Daroi dam to create reservoir within the bank for recharging and meeting water demand of nearby areas. For analyzing the flow pattern and assessing the hydraulic parameters of Hipura barrage on Sabarmati river near Hirpura village of Mehsana District of Gujarat, a 3D physical model with geometrically similar scale 1:80 for river reach 3 km (1 …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 46–51 Read article
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Mathematical Model and Analysis of Dual Axis Solar Tracking Mechanism
Abstract: AbstractThe recent years have seen solar energy as one of the most potential candidate for electric power generation. However, the low output conversion efficiency still remains the matter for concern. The maximum power energy output relies on myriad environmental factors. This paper investigates the role of radiation intensity and panel position for better output efficiency and proposes an efficient dual axis solar tracking mathematical modelling that tracks the sun irrespective …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 9, Issue 1, 2018 · pp. 1–6 Read article