Results 61 to 70 of about 1,384,120 (314)

Grid Commerce, Market-Driven G-Negotiation, and Grid Resource Management [PDF]

, 2006
Although the management of resources is essential for realizing a computational grid, providing an efficient resource allocation mechanism is a complex undertaking.
Sim, Kwang Mong
core   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Power Smoothing Control in a Grid-Connected Marine Current Turbine System for Compensating Swell Effect [PDF]

, 2013
Variations of marine current speed may lead to strong fluctuations in the power extracted by a marine current turbine (MCT). During short-time period, swell effect is the main cause for the current speed variations.
SCUILLER, Franck, CHARPENTIER, Jean-Frederic, BENBOUZID, Mohamed, Charpentier, Jean Frédéric, ZHOU, Zhibin, TANG, Tianhao   +5 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Optimization Techniques for Low-Level Control of DC–AC Converters in Renewable-Integrated Microgrids: A Brief Review

Energies
The optimization of low-level control for DC–AC power converters is crucial for enhancing efficiency, stability, and adaptability in modern power systems. With the increasing penetration of renewable energy sources and the shift toward decentralized grid
Guilherme Vieira Hollweg, Gajendra Singh Chawda, Shivam Chaturvedi, Van-Hai Bui, Wencong Su   +4 more
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Dynamic modeling of hybrid GFM-GFL distributed generators for enhanced transient stability based on phasor-domain control

International Journal of Electrical Power & Energy Systems
The increasing demand for low-carbon resources drives the adoption of distributed energy resources (DERs) to shape sustainable cities. To ensure stable operation and cost-effective inverter deployment, microgrids (MGs) are equipped with grid-forming (GFM)
Muntathir Al Talaq, Muhammad Bakr Abdelghany, Ahmed Al-Durra, Hatem H. Zeineldin, Tarek H.M. EL-Fouly, Mir Nahidul Ambia   +5 more
doaj   +1 more source

Agent-based homeostatic control for green energy in the smart grid

, 2011
With dwindling non-renewable energy reserves and the adverse effects of climate change, the development of the smart electricity grid is seen as key to solving global energy security issues and to reducing carbon emissions.
Vytelingum, Perukrishnen, Jennings, Nick, Ramchurn, S, Rogers, A, Rogers, Alex, Vytelingum, P, Ramchurn, Sarvapali, Jennings, N   +7 more
core   +1 more source

From access and integration to mining of secure genomic data sets across the grid [PDF]

, 2007
The UK Department of Trade and Industry (DTI) funded BRIDGES project (Biomedical Research Informatics Delivered by Grid Enabled Services) has developed a Grid infrastructure to support cardiovascular research.
Sinnott, R.O., Sinnott, Richard O.
core   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source