Results 51 to 60 of about 699 (211)

SPETS: Secure and Privacy-Preserving Energy Trading System in Microgrid

open access: yesSensors, 2021
Recently, the development of distributed renewable energy resources, smart devices, and smart grids empowers the emergence of peer-to-peer energy trading via local energy markets. However, due to security and privacy concerns in energy trading, sensitive
Ahmed Samy   +3 more
doaj   +1 more source

Variable Stiffness Flexure Structures Enabled by Phase‐Change Gallium and Adhesive Interfacial Locking for Soft Robotic Applications

open access: yesAdvanced Engineering Materials, EarlyView.
A flexure‐based variable stiffness structure is developed by integrating phase‐change modulation and adhesive interfacial locking of gallium. The design enables a wide stiffness variability, transitioning from soft, flexible behavior to rigid, load‐supporting performance.
Sungjin Kim   +2 more
wiley   +1 more source

Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems

open access: yesIEEE Access, 2020
The concept of Energy Internet has emerged from the limitless possibilities of energy sharing networks formed by interconnection of electricity producers cum consumers (prosumers) with renewable energy sources/systems, electric loads, and storage devices.
Akhil Joseph, Patil Balachandra
doaj   +1 more source

Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners

open access: yesIET Smart Grid, 2021
Herein, a novel approach to conduct peer‐to‐peer energy auctions for electric vehicles (EVs) to benefit both buyers and sellers is presented. It considers a scenario where households can sell their surplus solar energy to visiting EVs that make use of ...
Huw Thomas   +2 more
doaj   +1 more source

Peer-to-Peer Trading for Energy-Saving Based on Reinforcement Learning

open access: yesEnergies, 2022
This paper proposes a new peer-to-peer (P2P) energy trading method between energy sellers and consumers in a community based on multi-agent reinforcement learning (MARL).
Liangyi Pu   +5 more
doaj   +1 more source

Solid‐State Diffusion and Intermetallic Phase Formation in Roll‐Bonded Mg–Zn Composites With Kirigami‐Patterned Inlay

open access: yesAdvanced Engineering Materials, EarlyView.
Mg–Zn composites with a thickness of 0.21 mm were fabricated using roll bonding of a kirigami‐patterned Mg alloy inlay within a Zn matrix. Thermal activation following this process led to the formation of tailored intermetallic structures, which provided the composite with enhanced flexural strength.
Yaroslav Frolov   +4 more
wiley   +1 more source

Decentralized peer-to-peer model of energy trading in smart grid considering price differentiation

open access: yesEnergy Reports, 2023
An increase in electricity demand has sparked a new trend to restructure energy markets as consumer-centric marketplaces. One of the possible techniques for establishing decentralized energy market models is peer-to-peer (P2P) energy trading.
Ashwini D. Manchalwar   +4 more
doaj   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

open access: yesAdvanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares   +3 more
wiley   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

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