Two-Layer Optimal Scheduling and Economic Analysis of Composite Energy Storage with Thermal Power Deep Regulation Considering Uncertainty of Source and Load by Chao Xing, Jiajie Xiao, Xinze Xi, Jingtao Li, Peiqiang Li, Shipeng Zhang

“…A two-layer scheduling method of energy storage that considers the uncertainty of both source and load is proposed to coordinate thermal power with composite energy storage to participate in the peak regulation of power systems. …”
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Optimizing Baffle Length for Mixed Convective Flow Within a Ventilated Square Cavity with Discrete Heat Sources Mounted at Side Walls by Saad Been Mosharof, HM Toufik Ahmed Zisan, Tahmidul Haque Ruvo, Md. Mahmud-Or-Rashid

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Intelligent Operation and Maintenance of Wind Turbines Gearboxes via Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun, Binkai Wang

“…To address these issues, this study systematically explores an intelligent operation and maintenance method for wind turbines, utilizing digital twin technology and multi-source data fusion. …”
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Establishing Functional Model of Photometric Performance of Trichromatic Light Sources in Chromaticity Diagrams by Qi Yao, Wanlu Zhang, Lu Zhang, Yu Bian

“…The functional models quantify all the photometric characteristics in the gamut area and can predict the performances for different synthesis of trichromatic light sources. Using the proposed model, it is possible to evaluate the present performance of trichromatic light sources and provide a method for optimization. …”
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Minimization of total costs for distribution systems with battery energy storage systems and renewable energy sources by Thai Dinh Pham, Thang Trung Nguyen, Le Chi Kien

“…Thus, this research introduces a powerful method called modified coyote optimization algorithm (MCOA) for identifying the optimal installation of wind turbine farms (WFs), photovoltaic farms (PVFs), and battery energy storage systems (BESS) in IEEE 123-bus unbalanced distribution system (UDS) and Nha Be 55-bus balanced distribution system (BDS) in Nha Be District, Ho Chi Minh City, Vietnam to minimize total costs. …”
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Optimization of Two Methods for the Rapid and Effective Extraction of Quinine from <i>Cinchona officinalis</i> by Gianella Ochoa, Leonardo Armijos, Jorge G. Figueroa, Ximena Jaramillo-Fierro, Natalí Solano-Cueva

“…This study successfully optimized two advanced extraction methods, microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE), for the efficient and rapid recovery of quinine from <i>Cinchona officinalis</i>. …”
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Analysis and Optimization of Dysprosium-Doped Yellow Fiber Lasers for Ophthalmology Applications by Foroogh Khozeymeh, Federica Poli, Wahida Chowdhury, Annamaria Cucinotta

“…In this paper, a Forward Time Centered Space (FTCS) method and an analytical method have been developed to fully investigate the <inline-formula><tex-math notation="LaTeX">$^{4}F_{9/2}$</tex-math></inline-formula> to <inline-formula><tex-math notation="LaTeX">$^{6}H_{13/2}$</tex-math></inline-formula> lasing transition of a dysprosium Dy<inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>doped ZBLAN fiber which provides the potential of highly efficient yellow laser direct generation. …”
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Comparison in the Structure and Physicochemical Properties of Soybean Dregs Insoluble Dietary Fiber from Different Sources by Chenhao ZHAO, Wenhao LIU, Bo LI, Sainan WANG, Hansong YU, Wei YU

“…This study aimed to prepare soybean dregs insoluble dietary fiber generated from the processing of traditional soybean products (TBP-IDF) and to compare the differences in structure and physicochemical properties between it and insoluble dietary fiber prepared from soybean protein isolate processing by-products (SPI-IDF). The optimal degreasing process of soybean dregs was optimized by single-factor experiments and response surface methodology. …”
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IMPACT OF SEASONALITY OF GENERATION AND LOAD ON THE OPTIMAL CAPACITY OF THE ENERGY STORAGE SYSTEM OF THE PROSUMER’S MICROGRID by O.В. Кулапін, A.В. Івахнов, С.O. Федорчук, К.В. Махотіло, Д.О. Данильченко, О.В. Булгаков

“…Due to the instability of renewable energy sources, maintaining the stable operation of microgrids becomes an urgent and difficult task. energy storage systems can provide uninterrupted power for such Microgrids, but their integration is accompanied by challenges related to determining the optimal storage parameters. …”
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Performance Prediction and Analysis of Solar-Assisted Ground-Source Heat Pump Systems in Typical Rural Areas, China by Ying Cao, Zhibin Zhang, Guosheng Jia, Jianyu Zhai, Jianke Hao, Meng Zhang, Liwen Jin

“…The solar-assisted ground-source heat pump (SAGSHP) system is a novel heating system that effectively combines the advantages of both solar and geothermal energy. …”
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Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion by Xuwen Wang, Jiang Li

“…In response to the need for cable outer sound source localization, this paper proposes a collaborative localization method based on an improved generalized cross-correlation phase transform (GCC-PHAT) and multi-sensor fusion. …”
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Source Tracing of Raw Material Components in Wood Vinegar Distillation Process Based on Machine Learning and Aspen Simulation by Siqi Liao, Wanting Sun, Haoran Zheng, Qiyang Xu

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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

“…This study aims to develop a high-precision method to fill spatial AOD missing values and generate daily full-coverage AOD products for the Beijing–Tianjin–Hebei region in 2021 by integrating multi-dimensional data, including meteorological models, multi-source remote sensing, surface conditions, and nighttime light parameters, and applying machine learning methods. …”
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Impact of the Spatiotemporal Relationship Between Blast Source and Protected Area on Wave Arrival Sequence and Vibration Control Methods in Bench Blasting by Sijie Wang, Haojun Wu, Min Gong, Xiaodong Wu

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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…The cross entropy loss and Matthews correlation coefficient confirm the reliability of this method for sentiment orientation recognition in multi-source data. …”
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Optimization Of Solar Panel Usage In Grid-Connected Hybrid Energy Systems Using Fuzzy Method by Dina Maizana, Muhathir Muhathir, Habib Satria, Moranaim Mungkin, Muhammad Fadlan Siregar, Yanawati Binti Yahya

“…This study applies the Fuzzy method to analyze the optimal utilization of solar panels in a grid-connected hybrid system for electricity demand. …”
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Neck shape optimization of resonator-type sound absorbers using adjoint lattice Boltzmann method by Kimiya Takeuchi, Kazuya Kusano

“…In this study, we attempted to improve the sound absorption characteristics of a Helmholtz resonator using an unsteady adjoint method based on the lattice Boltzmann equation. The adjoint-based shape optimization created a concave shape on the upper side and a convex shape on the lower side of the resonator neck, alleviating noise to a greater extent compared with straight and serrated neck shapes. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…An increasing number of tasks now demand data processing directly at the source, which limits the available computational resources. …”
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Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network by Pinank Patel, Nagaraj Patil, Ahmed Mohsen, Aditya Kashyap, Nofal Adrees Hasan, Karthikeyan A, Dhirendra Nath Thatoi, Deepak Gupta, Alireza kamranfar

“…The objective function, which includes power losses, voltage profile enhancement, and related costs, is optimized through the Multi-Objective Particle Swarm Optimization (MOPSO) method. …”
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Optimization of Multi-Energy Grid Integration and Energy Storage in Low-Carbon Power Systems Based on the TCM-MBZOA Algorithm: A Case Study of Yunnan Province by Yang Li, Guoen Zhou, Jiaqi Xue, Junwei Yang, Shi Yin

“…To address this limitation, this paper proposes a multi-source coordinated optimization strategy based on a bi-level programming model and an improved tent chaotic mapping-memory backtracking zebra optimization algorithm (TCM-MBZOA). …”
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