Results 61 to 70 of about 7,303 (298)
Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners
IET 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
Machine Learning-Blockchain Based Autonomic Peer-to-Peer Energy Trading System
Applied Sciences, 2022 This paper introduces a blockchain-based P2P energy trading platform, where prosumers can trade energy autonomously with no central authority interference. Multiple prosumers can collaborate in producing energy to form a single provider.
Yaçine Merrad +6 more
doaj +1 more source
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
Strategic Peer-to-peer Energy Trading Framework Considering Distribution Network Constraints
Journal of Modern Power Systems and Clean Energy, 2023 With the development of smart home energy management technology, prosumers are endowed with increased initiative in peer-to-peer (P2P) transactions, bringing new potential for cost savings. In this study, a novel strategic P2P energy trading framework is
Yanbo Jia, Can Wan, Biao Li
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
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
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 +3 more
doaj +1 more source
Advanced 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
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