Results 41 to 50 of about 319 (155)
This paper investigates the coordinated operation of distribution networks that integrate electric vehicles, distributed compensation devices, and distributed generation. Our main work involves developing a dynamic linear model for electric springs to enhance operational strategies, and combining probabilistic load flow analysis with branch power flow ...
Chen Zhongbo, Liang Liang, Lu Chao
wiley +1 more source
Bladder cancer (BC) remains a significant global health challenge, requiring the development of accurate predictive models for diagnosis. In this study, a new Binary Modified White Whale Optimization (B-MBWO) algorithm is proposed to address the BC ...
Hasan Gharaibeh +8 more
doaj +1 more source
Joint Optimization of UAV Trajectories and Computational Offloading for Space-Air-GroundIntegrated Networks [PDF]
As an emerging network architecture,space-air-ground integrated network has attracted significant attention from researchers in recent years,and it can greatly improve the overall quality of service.Addressing the challenges of insufficient network ...
CHEN Yitian, TONG Yinghua
doaj +1 more source
• As the main contribution, simultaneous optimisation of the site and size of service transformers, WTs and PVs is investigated with respect to the impact of the load profile. In other words, in a distribution network, since it is important to optimally allocate service transformers and various factors can affect the optimal results, this paper focuses
Mohammad Ali Alipour, Alireza Askarzadeh
wiley +1 more source
Ever-increasing dynamic surges in renewable-based electric power systems, notably wind and photovoltaic farms bring adverse impacts and challenges in terms of reliability and stability.
Shahzad Ali +6 more
doaj +1 more source
Optimization of Hybrid Machine Learning Approach for Unemployment Rate Forecasting
This research proposes a robust approach for forecasting female unemployment rates across various regions in Egypt using optimized support vector machines (SVMs). Key factors such as education level, age, and location are analyzed to enhance prediction accuracy. The process involves three phases: training, predicting, and optimizing.
Wafaa A. Shrief +5 more
wiley +1 more source
This research investigates the application of the parrot optimizer (PO) algorithm and the artemisinin optimization (AO) algorithm to determine the optimal placement of solar‐powered distributed generators (SP‐DGs) within the standard IEEE 33‐node, 69‐node, and the Vietnamese Hoang Dieu 26‐node distribution power networks (DPNs).
Xuan Hoa Thi Pham +2 more
wiley +1 more source
Abstract Network operators with significant solar photovoltaic (PV) penetration are having difficulty maintaining grid frequency and voltage within acceptable bounds due to the progressive displacement of synchronous machines. Utility‐scale solar PV plants have a huge potential for participation in frequency and voltage regulation since they are linked
Raja Owais, Sheikh Javed Iqbal
wiley +1 more source
ObjectiveTo address the challenge of determining key stratum parameters during shield tunneling beneath existing building clusters, a Beluga Whale Optimization-FLAC3D (BWO-FLAC3D) method is proposed,which utilizes settlement monitoring data to enable the
Junyuan LIAO +4 more
doaj +1 more source
The proposed work focuses on providing fast EMS assistance to the public by strategically allocating ambulances to minimize their average response time. The work is executed in the MATLAB environment and uses the proposed algorithm of modified WOA (mWOA) in the simulation optimization framework.
Hina Gupta +5 more
wiley +1 more source

