Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

“…Traditional machine learning (ML) models often fall short in predicting the highly variable nature of smart grid operations. Methods: This study introduces an ensemble stacked bidirectional Long Short-Term Memory model enhanced by a proposed Adaptive Aquila Optimizer (AAO). …”
Get full text

A Mathematical Programming Approach for Joint Optimization of Wind Farm Layout and Cable Routing Based on a Three‐Dimensional Gaussian Wake Model by Ziwei Cao, Longwen Chen, Ke Li, Guoqing Huang, Ruili Liu

“…ABSTRACT Wind energy is currently one of the most promising alternative energy sources. The optimization of the wind farm layout and the cable layout are two important elements in the design of wind farms. …”
Get full text

An approach to the conservation of the endangered yew (Taxus baccata L.) by optimizing callus culture for taxol production by Marziyeh Sarmadi, Naser Karimi, Mohammad Hossein Mirjalili

“…It is one of the most important sources of taxol, an anti-cancer compound. This plant is an endangered species due to its low growth and regeneration and also over-harvesting. …”
Get full text

Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
Get full text

An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis by Yujie Zhang, Jian Feng, Shanyuan Wang

“…Fault diagnosis of transformers based on a clustering algorithm primarily utilizes the proportional data of dissolved gases as features, which have not considered abundant gas ratio features, and those clustering methods are prone to invalid clustering. In order to solve those problems, this paper uses more features as information sources of power transformer diagnosis based on clustering method. …”
Get full text

Role conflict, satisfaction, and performance in administrative staff at public universities: The role of optimism and sex differences. by Pedro Antonio Díaz-Fúnez, Francisco Gabriel Martín-Martín, Ana Martínez-Díaz, Carmen Salvador-Ferrer, Chiara Consiglio, Miguel Ángel Mañas-Rodríguez

“…<h4>Background</h4>This study addresses a critical gap in the literature by examining how optimism can moderate the effects of role conflict specifically among administrative staff at public universities. …”
Get full text

Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

“…Simulation results show that the proposed method suppresses frequency overshoot and system disturbances during a multi-source black start, significantly enhancing microgrid restoration capability and operational stability.…”
Get full text

Preparation and photoelectric properties of Si:B nanowires with thermal evaporation method. by Yang Feng, Ping Liang, Ziwen Xia, Weiye Yang, Hongyan Peng, Shihua Zhao

“…We have successfully prepared a significant number of nanowires from non-toxic silicon sources. Compared to the SiO silicon source used in most other articles, our preparation method is much safer. …”
Get full text

Co-Optimized Design of Islanded Hybrid Microgrids Using Synergistic AI Techniques: A Case Study for Remote Electrification by Ramia Ouederni, Innocent E. Davidson

“…The results obtained show that the best performance was obtained with the Grey Wolf Optimization algorithm. This method achieved a minimum energy cost of USD 0.268/kWh. …”
Get full text

A Multi-Objective PSO-GWO Approach for Smart Grid Reconfiguration with Renewable Energy and Electric Vehicles by Tung Linh Nguyen, Quynh Anh Nguyen

“…Comparative analyses further demonstrate that the hybrid method surpasses conventional optimization techniques, as evidenced by enhanced convergence rates and superior objective function outcomes. …”
Get full text

Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidir... by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak

“…Text summarization has become a prominent and effective method towards glean important information from numerous documents. …”
Get full text

Effect of synthesis method on ammonium sorption behavior of oat husk biochar by José Daniel da Silva Fonseca, Karolina Matej-Łukowicz, Jacek Kluska, Mateusz Adam Baluk, Joanna Kulesza, Bráulio Silva Barros, Ewa Wojciechowska

“…This study aims to determine the optimal method for producing biochar from oat husks, focusing on maximizing ammonium adsorption capacity among three selected preparation techniques. …”
Get full text

An Optimal Control Strategy for DC Bus Voltage Regulation in Photovoltaic System with Battery Energy Storage by Muhamad Zalani Daud, Azah Mohamed, M. A. Hannan

“…The PSCAD/EMTDC-based simulation case studies are presented to evaluate the performance of the proposed optimized control scheme in comparison to the conventional methods.…”
Get full text

Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios by Susanta Dutta, Tushnik Sarkar, Chandan Paul, Sabbir Reza Tarafdar, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Comparative analysis has also been done on the performance of the other optimization methods that were showcased in the latest ORPD research. …”
Get full text

Two-Stage Robust Optimization Model for Fresh Cold Chain considering Carbon Emissions and Uncertainty by Deqiang Qu, Zhong Wu

“…Therefore, this paper constructs a two-stage robust optimization (TSRO) model using data-driven method and robust optimization theory and verifies the validity of this model through an actual case. …”
Get full text

Proton Exchange Membrane Fuel Cells: An Effective Neural Fuzzy System for Optimal Power Tracking by Assala Bouguerra, Abd Essalam Badoud, Saad Mekheilef

Get full text

Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. by Guilherme Gloriano de Souza, Ricardo Ribeiro Dos Santos, Ruben Barros Godoy

“…Among these strategies, the Valley-Filling approach has emerged as a promising method to optimize renewable energy utilization and alleviate grid stress. …”
Get full text

A diffractometer project for Brazilian Multipurpose Reactor (RMB): McStas simulations and instrument optimization by Alexandre Pinho dos Santos Souza, Luiz Paulo de Oliveira, Fabiano Yokaichiya, Frederico Antonio Genezini, Margareth Kazuyo Kobayashi Dias Franco

Get full text

Optimizing UI/UX of AIMsCORE Application with Design Thinking to Enhance User Interaction and Engagement by Jannatunnisa, Abdul Rahim, Sayekti Harits Suryawan

“…This method strengthens data credibility and informs problem-based solution design. …”
Get full text

Dual Adaptive Filtering by Optimal Projection Applied to Filter Muscle Artifacts on EEG and Comparative Study by Samuel Boudet, Laurent Peyrodie, William Szurhaj, Nicolas Bolo, Antonio Pinti, Philippe Gallois

“…This paper proposes to use the method dual adaptive filtering by optimal projection (DAFOP) to automatically remove artifacts while preserving true cerebral signals. …”
Get full text