Comprehensive optimization of active and reactive power scheduling in smart microgrids by accounting for line transmission losses using genetic algorithm by F.Z. Zahraoui, H.E. Chakir, M. Et-taoussi, H Ouadi

“…Smart microgrids face increasingly complex challenges in providing optimal power flow due to the integration of intermittent renewable energy sources, reactive power demand, and transmission line losses. …”
Get full text

Advancing Energy Transition: A Circular Economy Framework for Co-Optimizing Energy, Water, and Emissions in Low-Carbon Systems by Mohamed Elsir, Ameena Saad Al-Sumaiti, Mohamed Shawky El Moursi

“…We employ a novel risk-multi-objective stochastic (RMOBS) optimization method, coupled with a two-stage stochastic programming model, to address uncertainties through hidden Markov processes and conditional value-at-risk (CVaR) techniques. …”
Get full text

Agrofood Waste and By-Product Valorization, Extraction, and Characterization of Pectin from the Waste Biomass Fruit Peel of Aframomum angustifolium Using Response Surface Methodolo... by Akuro Blaise Mbaku, Pride Ndasi Ngwasiri, Wilson Agwanande Ambindei, Ngwa Martin Ngwabie, Martin Benoit Ngassoum

“…Applications of pectin in the food industry are strongly influenced by their source, structures, and extraction methods, which affect their functionalities. …”
Get full text

Multi-Source Attention U-Net: A Novel Deep Learning Framework for the Land Use and Soil Salinization Classification of Keriya Oasis in China with RADARSAT-2 and Landsat-8 Data by Yang Xiang, Ilyas Nurmemet, Xiaobo Lv, Xinru Yu, Aoxiang Gu, Aihepa Aihaiti, Shiqin Li

“…Furthermore, Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbor (KNN), and deep learning methods including U-Net and MSA-U-Net were employed to identify the different degrees of salinized soil. …”
Get full text

Noise Analysis and Suppression Methods for the Front-End Readout Circuit of a Microelectromechanical Systems Gyroscope by Chunhua He, Yingyu Xu, Xiaoman Wang, Heng Wu, Lianglun Cheng, Guizhen Yan, Qinwen Huang

“…Therefore, it is essential to analyze and suppress the noises in the key analog circuits, which are the main noise sources. This study presents an optimized front-end readout circuit and noise suppression methods. …”
Get full text

Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds by Zhuli REN, Ruifu YUAN, Liguan WANG, Haokun DENG, Wen WANG, Jinlong ZHANG

“…This results in a complete point cloud post-denoising. The method is implemented through secondary development based on the open-source software Cloud Compare. …”
Get full text

Enhanced nattokinase production by Bacillus subtilis from glycerol and okara: optimization of culture medium via response surface methodology by Yaling Duan, WanTing Du, Yang Xu, Gege Guo, Zhaoxing Liu, Ning Hao

“…Building upon this, fermentation conditions using glycerol as the carbon source and okara as the nitrogen source were optimized. …”
Get full text

Optimization of parameters of quiet permanent magnet synchronous motor for linear drive of long-stroke single-stage piston compressor by A. A. Tatevosyan

“…The substantiation of the maximum possible efficiency of the PMSM for the sinusoidal and non-sinusoidal laws of motion of the inductor is given.PURPOSE: Obtaining a solution to the problem of optimizing the magnetic system design of a low-speed PMSM as a part of a linear drive of a single-stage reciprocating compressor for a given law of motion of the moving part that meets the criterion of maximum efficiency of an electromechanical converter.METHODS: The methods of the theory of electromechanical energy converters, theoretical electrical engineering, mathematical modeling, optimization methods, variational, differential and integral calculus, as well as experimental methods are used.RESULTS: The results of an experimental study of the developed prototype of a low-speed SDPM as a part of a linear drive of a long-stroke single-stage reciprocating compressor are presented.CONCLUSION: The highest efficiency of the PMSM is achieved when the current in the armature winding changes with time in direct proportion to the speed of the inductor. …”
Get full text

Hierarchical deep Q-network-based optimization of resilient grids under multi-dimensional uncertainties from extreme weather by Shimeng Dong, Chao Wang, Yan Zhang, Yanan Wang, Xiaodong Zhang, Linrun Guo, Liwei Ju

“…This paper introduces an innovative optimization framework leveraging Deep Q-Networks (DQN) to integrate renewable energy sources, energy storage systems, and advanced resilience metrics into a cohesive decision-making model. …”
Get full text

Optimization of <i>Sargassum bovianum</i> Extraction Techniques for Germination of Wheat, Canola, and Corn Under Different Salinity Stress by Mehdi Derafshi, Akbar Hassani, Setareh Amanifar, Mohammad Babaakbari, Narges Hematimatin, Behnam Asgari Lajayer, Tess Astatkie, G. W. Price

“…Seaweeds are a cheap, eco-friendly, and rich source of plant growth stimulators that can mitigate the adverse effects of salinity stress. …”
Get full text

Dual-layer scheduling coordination algorithm for power supply guarantee using multi-objective optimization in spot market environment by Xuanyuan Wang, Xu Gao, Zhen Ji, Wei Sun, Bo Yan, Bohao Sun

“…Price fluctuations, the intermittency and uncertainty of renewable energy sources, and stringent environmental constraints make traditional dispatch methods inadequate. …”
Get full text

A parameter uniform hybrid approach for singularly perturbed two-parameter parabolic problem with discontinuous data by N. Roy, A. Jha

Get full text

Distributed PV hosting capacity assessment method for distribution network considering planning of flexible resource by XU Jiayu, WANG Xiaobing, LI Bing, GU Jingda, ZHANG Qiushi, ZANG Tianlei

“…Firstly, based on the traditional multi-scenario construction method, the concept of time-sequence correlation is introduced establish the joint scenario set of source and load considering time sequence autocorrelation and cross-correlation. …”
Get full text

A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction by Qiao Li, Xingchen Li, Xiaoqian Chen, Wen Yao

“…These sparse graphs are then integrated with learnable weights optimized by automatic differentiation. Our method has been tested on an open-source turbulence dataset, the two components of graph pruning and weight optimization bring about 34% and 10% improvements on average. …”
Get full text

Methods of Protein Extraction from House Crickets (<i>Acheta domesticus</i>) for Food Purposes by Nair Cunha, Vanda Andrade, Antónia Macedo, Paula Ruivo, Gabriela Lima

“…Protein isolates have proven to be effective in enhancing this functionality and consumer acceptance, but existent protein extraction methods still lack improvements concerning the optimization of protein extraction rates. …”
Get full text

Machine learning and optimization in hybrid energy storage systems: Integrating MPC, PSO, MILP, and ANN for grid stability and efficiency by Rajesh M. Bhagat, Dilendra B. Jasutkar, Amitkumar B. Ranit, Vikrant S. Vairagade, Balram Yelamasetti, Sagar D. Shelare, Shubham Sharma, Abinash Mahapatro, V.K. Bupesh Raja, Quadri Noorulhasan Naveed, Naoufel Kraiem, Saiful Islam, Jasmina Lozanovic

“…Hybrid Energy Storage Systems (HESS) can provide solutions for grid stability and integration of renewable energy sources. A novel model integrating Model Predictive Control (MPC), Particle Swarm Optimization (PSO), Mixed-Integer Linear Programming (MILP), and Artificial Neural Networks (ANN) is developed to optimize HESS performance. …”
Get full text

Investigation of Improved Methods in Power Transfer Efficiency for Radiating Near-Field Wireless Power Transfer by Hesheng Cheng, Huakun Zhang

“…Using the same configuration as method two, method three, where the maximum PTE can be increased by regulating the voltage (or power) ratio of the two feeding sources, is proposed. …”
Get full text

Conventional and Innovative Methods for Reducing the Incidence of <i>Listeria monocytogenes</i> in Milk and Dairy Products by Adriana Dabija, Cristina Ștefania Afloarei, Dadiana Dabija, Ancuța Chetrariu

“…This paper presents a synthesis of the specialized literature on methods to reduce the incidence of <i>L. monocytogenes</i> in milk and dairy products. …”
Get full text

Deep Learning and Methods Based on Large Language Models Applied to Stellar Light Curve Classification by Yu-Yang Li, Yu Bai, Cunshi Wang, Mengwei Qu, Ziteng Lu, Roberto Soria, Jifeng Liu

“…Light curves serve as a valuable source of information on stellar formation and evolution. …”
Get full text

Optimization growth performance and intestinal characteristics of broiler through the use of zeolite and bioherbal-based mycotoxin binders as feed additives. by Ibrahim Ibrahim, Muhammad Halim Natsir, Osfar Sjofjan, Irfan Hadji Djunaidi, Agus Susilo, Muhaimin Rifa&apos;i, Hafsah Hafsah

Get full text