Results 41 to 50 of about 605 (168)

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

Energy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang, Qiang Li, Jun Zhang, Chaohuang Xu   +3 more
wiley   +1 more source

Efficiently Refining Beampattern in FDA-MIMO Radar via Alternating Manifold Optimization for Maximizing Signal-to-Interference-Noise Ratio

Remote Sensing
Joint transceiver beamforming is a fundamental and crucial research task in the field of signal processing. Despite extensive efforts made in recent years, the joint transceiver beamforming of frequency diverse array (FDA)-based multiple-input and ...
Langhuan Geng, Yong Li, Limeng Dong, Yumei Tan, Wei Cheng   +4 more
doaj   +1 more source

Optimizing Household Waste Recycling Centre Network Reorganization in Hampshire

Networks, EarlyView.
ABSTRACT Local councils across the UK are facing sustained financial pressures, and Household Waste Recycling Centres (HWRCs) are being increasingly considered for closure to reduce expenditure. In 2024, Hampshire County Council, which operates the largest HWRC network in the UK, proposed closing either five or twelve existing sites.
Montree Jaidee, Zheng Sun, Sher Singh, Thi Nguyen, Bismark Singh   +4 more
wiley   +1 more source

FL‐Offshore: A Federated Learning Framework for Predictive Maintenance in Brazilian Offshore Production Scenario

Artificial Intelligence for Engineering, EarlyView.
ABSTRACT Offshore oil production in Brazil relies on Floating Production Storage and Offloading (FPSO) units, where failures in rotating machinery motivate machine learning–based predictive maintenance. Centralised training is impractical due to privacy constraints, heterogeneous and highly imbalanced local datasets and unreliable satellite ...
Lucas M. Almeida, Allan S. Borges, Gustavo B. B. Figueiredo, Edson M. Cruz, Eric B. C. Barros, Maycon L. M. Peixoto   +5 more
wiley   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source

Advancing Distribution System Planning: Exact MINLP Methods for Optimal PV and Reactive Device Deployment

Applied System Innovation
The planning of unbalanced three-phase distribution networks increasingly requires the coordinated integration of distributed energy resources, such as photovoltaic (PV) generators and static compensators (D-STATCOMs), to enhance system performance and ...
Brandon Cortés-Caicedo, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Santiago Bustamante-Mesa, Walter Gil-González   +4 more
doaj   +1 more source

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li, Longbang Wang, Jiexing Li, Jicheng Li   +3 more
wiley   +1 more source

Provincial Water Resource Allocation in Agricultural Sector Using Conflict Resolution Methods in Atrak Basin

مجله آب و خاک, 2017
Introduction: In spite of improving the water productivity due to development in water infrastructure systems, population increasing causing the water withdrawal is triple in the last fifty years.
Parvaneh KazemiMeresht, Shahab Araghinejad   +1 more
doaj   +1 more source

Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via zeroing neurodynamics.
Ying Kong, Shaoyuan Sun, Yunliang Jiang, Lin Wei   +3 more
wiley   +1 more source

Multi‐Strategy Synergy‐Based Differential Evolution for Large Wind Farm Layout Optimization

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Exploring clean energy alternatives to fossil fuels has become a major research focus worldwide. Wind energy is regarded as one of the most promising renewable energy sources due to its clean and sustainable nature. However, wake interactions among turbines significantly reduce power conversion efficiency, making wind farm layout optimization (
Haotian Li, Yifei Yang, Qiong Fu, Zhenyu Lei, Zhe Xu, Shangce Gao   +5 more
wiley   +1 more source