Results 31 to 40 of about 365,507 (334)
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Decentralized Transaction Mechanism Based on Smart Contract in Distributed Data Storage
Distributed data storage has received more attention due to its advantages in reliability, availability and scalability, and it brings both opportunities and challenges for distributed data storage transaction.
Yonggen Gu+4 more
doaj +1 more source
At present, with the growing penetration rate of distributed photovoltaic generation in distribution networks, the application of blockchain is becoming more appealing to the dispatch of distributed energy transactions thanks to its decentralization ...
Kaiyun JIN+5 more
doaj +1 more source
A blockchain-based secure transaction model for distributed energy in Industrial Internet of Things
In the Industrial Internet of Things (IIoT), peer-to-peer (P2P) distributed energy (DE) transactions exist in various scenarios. This paper attempts to improve the intelligence, real-timeliness, and security of the direct transaction between DE ...
Wei Hu, Huanhao Li
doaj
Integrated Energy Transaction Mechanisms Based on Blockchain Technology
With the rapid development of distributed renewable energy (DRE), demand response (DR) programs, and the proposal of the energy internet, the current centralized trading of the electricity market model is unable to meet the trading needs of distributed ...
Shengnan Zhao+3 more
doaj +1 more source
Pattern on demand in transactional distributed databases
Abstract Many applications rely on distributed databases like sensor networks or the Semantic Web. However, only few methods exist to extract patterns without centralizing the data by following the exhaustive extraction paradigm. Their principle is to extract a unique large collection of frequent patterns that will be used for all downstream ...
Diop, Lamine+3 more
openaire +4 more sources
Performance analysis of control allocation using data‐driven integral quadratic constraints
Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch+2 more
wiley +1 more source
Energy Transaction for Multi-Microgrids and Internal Microgrid Based on Blockchain
With the decreasing reserves of fossil energy and the increasing capacity of renewable energy generation, the scale of microgrid based on distributed generations is expanding.
Zhuoli Zhao+6 more
doaj +1 more source
Trust-DETM: Distributed Energy Trading Model Based on Trusted Execution Environment
The traditional centralized power trading model suffers from high maintenance costs, low processing efficiency and unsynchronized information, and it cannot adapt to the high-frequency and small-dollar distributed energy trading scenario.
Xin Lu, Hongchen Guo
doaj +1 more source
A numerical scheme is presented to design a lattice support for metallic components additively built via laser powder bed fusion. Results show that thermal‐induced distortion can be respectively reduced by 69%, 58%, and 50% in comparison to a uniform lattice, a fully solid support, and a truss‐based lattice support.
Jiazheng Hu+2 more
wiley +1 more source