Results 41 to 50 of about 88,139,959 (248)

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

IEEE 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

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

Sensors, 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, Haining Yu, Hongli Zhang, Guangyao Zhang   +3 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

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, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Ethereum Blockchain-Based Peer-To-Peer Energy Trading Platform

, 2020
Blockchain is one of the emerging security technologies that have enormous potential in diverse sectors such as financial organization, academic institutions, national government, business sphere.
Pierluigi Siano, Siano P., H. S. V. S. Kumar Nunna, Kumar Nunna H. S. V. S., Aigerim Iskakova, Iskakova A.   +5 more
core   +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, Song Wang, Xiaodong Huang, Xing Liu, Yawei Shi, Huiwei Wang   +5 more
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Flexible cooperative game theory tool for peer-to-peer energy trading analysis [PDF]

, 2018
This paper presents an extensible and adaptable tool with which to study the use of cooperative game theory for allocating rewards to prosumers in peer-to-peer (P2P) energy trading systems.
Morstyn, Thomas, Julian Dixon, McCulloch, M, Han, L, Dixon, J, Malcolm McCulloch, Morstyn, T, Liyang Han, Han, Liyang, McCulloch, Malcolm, Thomas Morstyn   +10 more
core   +1 more source

BPET: A Unified Blockchain-Based Framework for Peer-to-Peer Energy Trading

Future Internet
Recent 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, Hamzeh Khazaei, Petr Musilek   +2 more
doaj   +1 more source

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, Nita R. Patne, Sumanth Pemmada, Radharani Panigrahi, Chaitali Morey   +4 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source