Results 71 to 80 of about 369 (162)

Tunned Least Square Support Vector Regression Analysis on Multi-Additive Improved Recycled Aggregate Concrete [PDF]

open access: yesAdvances in Engineering and Intelligence Systems
Recycled aggregates (RA) may replace natural aggregates (NA) in concrete sustainably. The lack of data makes inspection professionals and stakeholders doubtful of their compressive strength (Cs) predictions.
Mohamed Hassan, Rokaya Ismail
doaj   +1 more source

A Wind Power Combination Forecasting Method Based on GASF Image Representation and UniFormer

open access: yes
In the field of wind power prediction, traditional methods typically rely on one-dimensional time-series data for feature extraction and prediction. In this study, we propose an innovative short-term wind power forecasting approach using a “visual” 2D ...
Wei Guo   +5 more
core   +1 more source

Two-Stage Energy Storage Allocation Considering Voltage Management and Loss Reduction Requirements in Unbalanced Distribution Networks

open access: yes
The authors propose a two-stage sequential configuration method for energy storage systems to solve the problems of the heavy load, low voltage, and increased network loss caused by the large number of electric vehicle (EV) charging piles and distributed
Zhijian Liu   +4 more
core   +1 more source

Edge–Region Collaborative Segmentation of Potato Leaf Disease Images Using Beluga Whale Optimization Algorithm with Danger Sensing Mechanism

open access: yesAgriculture
Precise detection of potato diseases is critical for food security, yet traditional image segmentation methods struggle with challenges including uneven illumination, background noise, and the gradual color transitions of lesions under complex field ...
Jin-Ling Bei, Ji-Quan Wang
doaj   +1 more source

Optimization of NTMDI parameters using metaheuristic algorithms and spectral analysis for seismic response mitigation

open access: yesDiscover Civil Engineering
This study explores the optimization of parameters for a Nonlinear Tuned Mass Damper Inerter (NTMDI) system by employing six advanced optimization algorithms: Slim Mould Algorithm (SMA), Beluga Whale Optimization (BWO), Artificial Bee Colony (ABC ...
Mohammad Alibabaei Shahraki
doaj   +1 more source

Optimal Scheduling Study of Hydro–Solar Complementary System Based on Improved Beluga Whale Algorithm

open access: yesWater
The optimization scheduling model of the hydro–solar complementary system has the characteristics of high dimension, nonlinearity, strong constraints, etc., and it is difficult to solve. In view of this problem, this paper proposes an Improved Beluga Whale Optimization to solve the model.
Xiaofeng Yuan   +4 more
openaire   +1 more source

Configuration and dimension optimization of active power Filter in distribution networks using a Multi-Strategy improved algorithm

open access: yesInternational Journal of Electrical Power & Energy Systems
With the growing integration of electric vehicles, smart grids, and power electronics in power systems, harmonic distortion is becoming a pressing concern, degrading power quality and causing equipment issues that may lead to grid failures.
Tang Bo   +3 more
doaj   +1 more source

An Improved Bio-Inspired Material Generation Algorithm for Engineering Optimization Problems Including PV Source Penetration in Distribution Systems

open access: yes
The Material Generation Optimization (MGO) algorithm is an innovative approach inspired by material chemistry which emulates the processes of chemical compound formation and stabilization to thoroughly explore and refine the parameter space.
Mona Gafar   +3 more
core   +1 more source

Optimal Charging Current Protocol with Multi-Stage Constant Current Using Dandelion Optimizer for Time-Domain Modeled Lithium-Ion Batteries

open access: yesApplied Sciences
This study utilized a multi-stage constant current (MSCC) charge protocol to identify the optimal current pattern (OCP) for effectively charging lithium-ion batteries (LiBs) using a Dandelion optimizer (DO).
Seongik Han
doaj   +1 more source

Optimization of drama teaching strategies driven by deep reinforcement learning

open access: yesDiscover Artificial Intelligence
Traditional teaching strategies often fail to dynamically adapt leading to suboptimal student engagement. However, traditional teaching strategies often fail to dynamically adapt to diverse classroom conditions, leading to suboptimal student engagement ...
Zihua Wang
doaj   +1 more source

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