Search
654 articles for “Energy modeling”
-
Wind Speed Forecasting
Abstract: AbstractAs the world exhausts its non-renewable energy reservoirs, building predictive models for renewable energy dependencies comes important a fortiori. In this study we examine how well a Deep Neutral Networks performs on wind speed data in a time series forecasting. The data used are based on wind speed readings acquired at the first-of-its-kind LiDAR based offshore which is situated at the Gulf of Khambhat, Gujarat, which is about 23 km …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 2, 2020 · pp. 13–17 Read article
-
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
-
Firefly Algorithm–Based Optimization of Processing Parameters for Enhanced Performance of Polymer Composite Materials
Abstract: Polymer composite materials are extensively used in aerospace, automotive, and oil & gas applications due to their high strength-to-weight ratio and design flexibility. However, achieving optimal mechanical and thermal performance strongly depends on precise control of processing parameters such as curing temperature, energy consumption, and material utilization. Conventional trial-and-error approaches often lead to excessive energy usage, non-uniform curing, and sub-optimal composite properties. To address these challenges, this paper proposes an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 90–107 Read article
-
Numerical Simulation and Modeling of Self Heating in SOI MOSFET
Abstract: Abstract As the device size has been reduced the temperature increment of high-performance very large scale integrations (VLSIs) becomes a major issue. The self-heating effect and non-uniform power distribution in VLSIs, affect the performance of device. In this paper numerical simulation of self heating in SOI MOSFET has been performed. Poisson's equation, continuity equation, energy balance equation and heat flow equations have been solved self consistently using finite element method …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 3, 2018 · pp. 18–23 Read article
-
A Disaggregated Optimization Approach for Competitive Procurement of Energy and Operating Reserve
Abstract: In restructured environment, Ancillary Services (AS) plays a vital role, as they are required for reliable and secure operation of the power system. Operating Reserve (OR), as one of the main AS, is a capability of a power system to prevent any unexpected imbalances caused by generation, transmission or equipment outage has been considered in this work. The approach is based on disaggregated clearing of energy and OR, which can …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 33–41 Read article
-
Design and Development of Power Saving Generation using Conveyor Belt
Abstract: This paper represents the “power saving and generation using conveyor belt”. As electricity prices continue to rise the increasing need of energy management; requires better understanding of models for energy-consuming applications, such as conveyor belts. Our team chooses to research the flexibility in power saving and generation using conveyor belt with different type of applications. Conveyor belts are used in wide range of industries, including power generation, mining and mineral …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 1, 2017 · pp. 18–21 Read article
-
THE EFFECTS OF ENERGY CONSUMPTION ON THE TURNING PROCESS FOR VARIOUS WORK-PIECE MATERIALS
Abstract: The study modified its goal to energy-intensive titanium alloys, contrasting traditional and high-speed machining processes. According to the study, a solution is needed to reduce or optimize energy use. So, a machined component energy footprint model was created. Several cutting speeds were used to calculate (k). Material removal rates were compared to cutting speeds for a range of materials and levels of detail. A strategy for selecting optimal cutting conditions …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 54–65 Read article
-
Theoretical Study of Substituent Effects on Electronic Properties and Polarizability for (2, 5, 24, 27-Tetrahalogen Pentacene) Molecule
Abstract: DFT and semi empirical methods have been carried out studying (2, 5, 24, 27 tetrahalogen pentacen) molecules using the B3LYP functional and the 6-311G (d, p) basis set and AM1 model. Total energy, electronic properties such as; ionization potential, electron affinity, energy gap, dipole moment, polarizability and electronic potential. The calculated ionization potential (6.126 eV) and electron affinity (1.417 eV) of this molecule is in a good agreement with experimental …
Published in Emerging Trends in Chemical Engineering · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
-
Optimization of Tensile and Flexural Properties of PETG Filament in FDM 3D Printing Using Response Surface Methodology
Abstract: Now a days manufacturing trend has been changed from subtractive to additive. In additive manufacturing (3D Printing), layer by layer deposition occurs and final product can be obtained. The main advantages of additive manufacturing is to obtain customized product, complex geometry product. This research investigates the optimization of tensile and flexural Strength of PETG filament in Fused Deposition Modeling (FDM) 3-d printing by using of Response Surface Methodology (RSM). Specimens …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 39–58 Read article
-
Photonic-Assisted Spintronic Solid-State Switching Model for High-Speed Memory Devices
Abstract: The rapid advancement of high-speed computing and data-centric applications has intensified the demand for energy-efficient and ultra-fast memory technologies. This paper proposes a Photonic-Assisted Spintronic Solid-State Switching Model for next-generation high-speed memory devices. The proposed framework integrates photonic excitation mechanisms with spintronic switching dynamics to enhance data transfer speed, minimize switching delay, and reduce power dissipation in solid-state memory architectures. By combining optical pulse-assisted spin polarization with magnetic tunnel junction-based …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
-
Optimal Capacity of Pump Storage System for Standalone Green Microgrid Interconnection with Main Grid in Deregulated Power Sector
Abstract: The energy crisis requires more generation capability, and is more importance to the storage technologies. To overcome this shortage of energy, pump storage system is used in the power system with great storing capacity up to this time. The isolated or regional grid in remote areas probably depends on renewable power sources such as wind; solar, geothermal, tidal, etc. with its availability is the main power resources. It is quite …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 100–114 Read article
-
Enhancing Surface Roughness of Polylactic Acid (PLA) 3D-Printed Parts Using CO₂ Laser Scanning: An Experimental Study on Parameter Optimization
Abstract: Fused deposition modeling (FDM) of polylactic acid (PLA) often suffers from poor surface finish due to the inherent layer-by-layer deposition process, limiting its use in high-precision applications. This study investigates CO₂ laser scanning as an efficient post-processing technique to reduce the surface roughness (Ra) of PLA parts while maintaining structural integrity. Specimens (100 × 80 × 5 mm) were fabricated with varying infill densities (35%, 70%, and 100%) to assess …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 503–511 Read article
-
Sizing and Power Estimation Models of an Off-grid Wind Power Supply System in Sokoto, Nigeria
Abstract: AbstractThe exploitation of wind energy for electricity generation could be done by the use of wind turbines. The power output from the wind generator fluctuates due to the variability of wind speed and therefore storage facilities are needed for power supply stability. This research focuses on the wind power potential investigations, sizing of wind power system components and determination of the better wind turbines for residential power supply in Sokoto, …
Published in Journal of Nuclear Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 1–7 Read article
-
Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
-
Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
-
Exploring Electric Skateboards: Comprehensive Insights into Design and Modeling
Abstract: Environmental protection and energy conservation have become primary concerns in the 21st century, prompting accelerated efforts to plan and develop electric vehicle (EV) technology. EVs offer numerous advantages, including zero emissions, the establishment of a new automobile industry, economic development, and the creation of efficient and smart transportation systems. This project introduces a foot-controlled steering system designed to enhance vehicle control, making it suitable for various road conditions and reducing …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 · pp. 39–45 Read article
-
Improving Energy Management Systems with SARIMA-Based Forecasting of Household Energy Consumption
Abstract: Household energy consumption is a dynamic and multifaceted domain influenced by various factors, including seasonality, weather conditions, and individual consumption habits. For homeowners looking to control expenses, lessen their impact on the environment, and contribute to a sustainable future, accurate forecasting is essential. Precise forecasting is also essential for utility firms to maximize energy production, distribution, and demand control. In a time when resource efficiency and environmental awareness are paramount, …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 1, 2024 Read article
-
DESIGN AND DEVELOPMENT OF COMPRESSED AIR ENGINE
Abstract: The consumption of fossil fuels has gone up to such a high level that problems like global warming, ozone layer depletion has become a prominent issue of concern .In order to protect the environment, harnessing of renewable energy is important. Having this overview in our mind, we designed and developed a model of a compressed air engine. This model utilizes the energy of compressed air to do mechanical work. To …
Published in Journal of Automobile Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 40–47 Read article
-
An Overview Mechatronics Systems Design of Modelica-Based Model Predictive Control Strategies for CO₂ Heat Pump Systems
Abstract: The growing adoption of renewable energy technologies poses challenges to energy supply stability, necessitating increased flexibility in energy demand. This paper introduces a Modelica-based Model Predictive Control (MPC) strategy aimed at keeping the supply water temperature within the range of 55°C to 75°C while minimizing energy consumption and electricity expenses throughout a year. A comprehensive, high-fidelity model representing a school building in Oslo, Norway, was developed using Modelica and exported …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 15–27 Read article
-
HYBRID ENERGY SOURCES
Abstract: As we all recognise, the global generating capacity is increasing every day. Nations are moving towards renewable energy sources of energy to reduce the carbon footprint, air pollution & which will be able to give pure & eco-pleasant power not including providing effect on the natural environment and natural reserves reduction. Whereas, at the same time, renewable energy sources have some major disadvantages like they are not reliable or we …
Published in Trends in Electrical Engineering · Vol. 12, Issue 2, 2022 · pp. 18–27 Read article