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Latest

Power Hardware-in-the-Loop Simulations of Distribution Circuit Voltage Regulation using Extremum Seeking Control

Distribution circuits with high penetrations of renewable energy resources may experience wide voltage deviations because of changing active power flows from distributed energy resources (DER).

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Xylene degradation by bacteria from different environments

Xylene is an aromatic organic compound formed by two methyl groups and a benzene ring in the center that can cause health complications. This chemical is used in many industries and it is one of the main components in gasoline.

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Parametrization of Hydrodynamics of Mangrove Root-Inspired Model for Coastline Protection & Energy Harvesting

This study focuses on the dimensional analysis of the hydrodynamics of mangrove root-like geometries and the effect of the mangrove patch porosity and flexural stiffness.

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A Fuel Composition Characterization of the Fuel Cell by bypassing Cathode Air Flow in a Hybrid Fuel Cell/Gas Turbine System

Hybrid systems, such as the Solid Oxide Fuel Cell (SOFC)/Gas Turbine (GT), are a promising technology due to its high efficiency and clean way to produce energy.

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Automation of a High Precision Stage For X-Ray Grazing Incidence Small-Angle Scattering (GI-SAXS) and Reflectivity (XR) Studies

GI-SAXS and XR are experimental techniques for investigating the nanoscale structure and composition of thin films: GI-SAXS gives information about the in-plane structure of nanotextured films, and XR gives the information on how the nanostructure

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Effect of the Incorporation of sulfonated Graphene Oxide on the Transport Properties of Sulfonated Poly(styrene-isobutylene-styrene)

This investigation focuses on the incorporation of sulfonated graphene oxide (sGO) to improve the performance of sulfonated poly(styrene-isobutylene-styrene) (SO3H SIBS) as a proton exchange membrane (PEM) for direct methanol fuel cell (DMFC) appl

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Micro Wind Turbine Control System

Wind energy can be considered a consolidated renewable source to produce electrical energy due to its advances in recent decades for practical applications.

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Day ahead load forecast using multitask Gaussian Processes

The problem of day ahead load forecasting has been addressed in many forms, particularly, using machine learning approaches.

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