Coverage Optimization Technology of Power Pipe Gallery Based on Improved Gray Wolf Algorithm by Cheng ZHONG, Di ZHAI, Yang LU, Xiaobo LIU, Xinru WANG, Xiongwen ZHAO

Get full text

Selecting Energy-Efficient LED Retrofits with Optimal Color Qualities for New and Refurbished Buildings by Irena Fryc, Maciej Listowski, Robert Supronowicz, Christophe Martinsons

Get full text

IMPROVING THE METHOD OF FROZEN BERRY PROCESSING IN THE DEVICE WITH VIBRATING PLATE by Sorokopud A.F., Plotnikov I.B., Plotnikova L.V.

“…Experimentally-statistical model valid for the studied system in the range of parameter changes has been obtained. The optimization of parameters using Newton's method has been fulfilled. …”
Get full text

GCT–CET Integrated Flexible Load Control Method for IES by Yaoxian Liu, Yuanyuan Wang, Yiqi Yang, Kaixin Zhang, Yue Sun, Cong Hou, Zhonghao Dongye, Jingwen Chen

Get full text

Optimization Of Shell And Tube Cycle Recuperator Design In Organic Rankine Geothermal Power Plant by Muhammad Rifqi Dwi Septian

Get full text

Optimizing surfactin yield in Bacillus velezensis BN to enhance biocontrol efficacy and rhizosphere colonization by Tongshu Liu, Yanli Zheng, Litao Wang, Xu Wang, Haiyan Wang, Yongqiang Tian

“…However, the practical application of surfactin is currently limited by its low yield in natural strains.MethodsThis study aimed to optimize the culture conditions for Bacillus velezensis BN, a strain with exceptional biocontrol properties, to enhance its surfactin yield. …”
Get full text

Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Artificial intelligence algorithms are primarily divided into methods based on group optimization problems and machine learning algorithms. …”
Get full text

Calculation method for target reliability of natural gas pipeline systems by Guangyu YAO, Honglong ZHENG, Daquan LI, Ranran WEI, Qiaofei SUN, Kai YANG

“…This method takes into account the random failures in crucial units of natural gas pipeline systems and the random fluctuations in gas sources and users' demands. …”
Get full text

Optimal Dual RNA-Seq Mapping for Accurate Pathogen Detection in Complex Eukaryotic Hosts by Infanta Eden M., Umashankar Vetrivel

Get full text

Structural optimization and thermal performance analysis of minichannel heat Sinks: A numerical approach by Danzhu Ma, Zihao Shao, Zhuang Li, Weiwei Jian

“…In the discussed range of Re = 50–900, the two open-hole schemes reduce the thermal resistance by 55.6 % and 55.44 %, improve the Nusselt number ratio by 251 % and 250 %, and improve the temperature uniformity of the heat source by 36.4 % and 35.45 %, respectively, which effectively reduces the risk of hot spots in the core area of the heat source. …”
Get full text

Robust Optimization for Microgrid Management With Compensator, EV, Storage, Demand Response, and Renewable Integration by Hamid Hematian, Mohamad Tolou Askari, Meysam Amir Ahmadi, Mahmood Sameemoqadam, Majid Babaei Nik

“…The model primarily addresses challenges arising from the integration of power electronics-based generation units, the unpredictable nature of demand in microgrids, and the integration of small-scale renewable energy sources. The proposed model includes detailed formulations for MG energy management, covering optimal battery usage, efficient EV energy management, compensator usage, and strategic dispatching of DG resources. …”
Get full text

Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm by Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou

“…Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. …”
Get full text

Multi-Time Scale Coordinated Optimization of Energy Systems Under Flexible Load Response by Jinfeng Gao, Daifeng Gao, Chun Xiao

“…To address these challenges, this study investigates multi-time scale collaborative optimization of energy systems based on flexible load response, utilizing a combination of qualitative and quantitative methods. …”
Get full text

Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

“…Experimental results also demonstrate that the proposed NiOA-DPRNNs framework gets the highest value of R2 (0.9736), lowest error rates and fitness values than other existing models and optimization methods. From the Wilcoxon and ANOVA analyses, one can approve the specificity and consistency of the findings. …”
Get full text

Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Hyperparameter optimization using Bayesian methods enhances predictive performance. …”
Get full text

Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

“…This review explores the significance of integrating high-resolution UAS and satellite imagery via pixel-based, feature-based, and decision-based fusion methods. The study investigates optimization techniques, spectral synergy, temporal strategies, and challenges in data fusion, presenting transformative insights such as enhanced biomass estimation through UAS-satellite synergy, improved nitrogen stress detection in maize, and refined crop type mapping using multi-temporal fusion. …”
Get full text

Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

“…Implemented on a suite of open-source models and trained with publicly available Python corpora, our method proves model-agnostic and lightweight. …”
Get full text

Search direction optimization of power flow analysis based on physics-informed deep learning by Baoliang Li, Qiuwei Wu, Yongji Cao, Changgang Li

“…Power flow analysis is crucial for obtaining power system operation states and optimizing control measures. The increasing integration of renewable energy sources has resulted in a more complex power system, posing challenges to the computational efficiency and convergence of conventional power analysis methods. …”
Get full text

Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control by Muhammed Cavus

“…To address these issues, this work suggests a novel systems approach method called the extended optimal P-PLC, created by integrating the P-PLC-based control method with the S-RBC method. …”
Get full text

Auto regressive neural network-driven reliability optimization in base-isolated building design by John Thedy, Kuo-Wei Liao, Taeyong Kim

“…Trained on various ground motions and Nonlinear Time History Analysis (NLTHA) data, the ARNN produces full response histories, unlike prior methods focused solely on peak responses. A Single Degree of Freedom (SDOF) example demonstrates ARNN accuracy, and a four-story base-isolated building is used for a Reliability-Based Design Optimization (RBDO) case study. …”
Get full text