Results 71 to 80 of about 87,898,256 (288)
BPET: A Unified Blockchain-Based Framework for Peer-to-Peer Energy Trading
Future InternetRecent years have witnessed a significant dispersion of renewable energy and the emergence of blockchain-enabled transactive energy systems. These systems facilitate direct energy trading among participants, cutting transmission losses, improving energy ...
Caixiang Fan +2 more
doaj +1 more source
Peer-to-Peer Trading for Energy-Saving Based on Reinforcement Learning
Energies, 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
Advanced 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
, 2012 PEER (Publishing and the Ecology of European Research), supported by the EC eContentplus programme, has been investigating the potential effects of the large-scale, systematic depositing of authors' final peer-reviewed manuscripts (so called Green Open ...
Wallace, Julia
core +2 more sources
Decentralized peer-to-peer model of energy trading in smart grid considering price differentiation
Energy 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
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced 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
Advanced 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
When Open Hypermedia Meets Peer-to-Peer Computing
, 2004 We describe the extension to our previous work on a Web-based peer-to-peer open hypermedia system, the DDLS. We enrich the peer model by introducing query history, and propose the use of the naive estimator which utilises the local knowledge of peers to ...
De Roure, David, Hall, Wendy, Zhou, Jing
core +2 more sources
Blockchain-Enabled Microgrids: Toward Peer-to-Peer Energy Trading and Flexible Demand Management
Energies, 2023 The energy transition to a decarbonized energy scenario leads toward distributed energy resources in which end users can both generate and consume renewable electricity.
Maarten Evens +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source