Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

“…This paper presents an innovative islanding detection method (IDM) that combines interval type-2 fuzzy logic with the Sandia frequency shift (SFS) technique for enhanced microgrid protection. …”
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Distributionally robust optimization-based scheduling for a hydrogen-coupled integrated energy system considering carbon trading and demand response by Zhichun Yang, Lin Cheng, Huaidong Min, Yang Lei, Yanfeng Yang

“…This study proposes a two-stage distributionally robust optimization (DRO)-based scheduling method to improve the economic efficiency and reduce carbon emissions of HIES. …”
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Multiobjective Time-Space Grid Optimization of Lithium-Ion Electrochemical Model Based on Stability Analysis and Limit Region Decoupling Strategy by Libin Zhang, Minghang Zhang, Hongying Shan, Guan Xu, Jingsheng Dong, Xuemeng Bai

“…This study proposes a time space grid optimization method based on the single particle model with electrolyte dynamics (SPMe) to enhance the computational efficiency and accuracy of electrochemical models while achieving a trade-off between voltage estimation precision and computational time. …”
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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

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Sensor Fault Detection and Diagnosis of Air-conditioning System Based on Improved Principal Component Analysis Method by Zhang Shuangshuang, Chen Huanxin, Zhang Hongtao, Guo Yabin

“…In this study, an improved principal component analysis method combining wavelet transform data optimization and neural network-based fault diagnosis optimization is proposed for the sensor fault detection and diagnosis in an air-conditioning system. …”
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Crucial heat damage analysis and optimization of a mid-sized pickup truck based on a deep Gaussian process model by Zebin Zhang, Sisi Liu, Xianzong Meng, Tingting Wang, Shizhao Jing, Chuanrui Wang, Dongchen Qin

“…Based on simulation results, a multi-objective two-layer deep Gaussian process model predicted heat source temperatures. The positions of cooling components were optimized using a genetic algorithm with heat-sensitive locations as the objectives. …”
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Estimating lake okeechobee’s water volume using NDWI-derived remote sensing and genetic algorithm optimization on Google Earth Engine by Golmar Golmohammadi, Hamid Reza Eslami, Rashid Rasouli Harouni, Kamyab Eslami, Mahin Jamali, Seyed Mostafa Biazar, Kourosh Mohammadi

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Enhanced Dynamic Expansion Planning Model Incorporating Q-Learning and Distributionally Robust Optimization for Resilient and Cost-Efficient Distribution Networks by Gang Lu, Bo Yuan, Baorui Nie, Peng Xia, Cong Wu, Guangzeng Sun

“…However, the unpredictability and intermittency of renewable sources such as wind and photovoltaic (PV) systems introduce significant challenges for distribution network planning. …”
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Design and Optimization of a Robust Wide‐Area Damping Controller for Mitigating Inter‐Area Oscillations in Wind‐Integrated Power Systems by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Sun‐Kyoung Kang, Ilhami Colak, El Manaa Barhoumi

“…ABSTRACT In power networks, low‐frequency oscillations—particularly inter‐area oscillations—pose a serious threat to system stability because of disruptions like short‐circuit faults and the increasing use of renewable energy sources like wind farms. To lessen the negative impacts of time delays when sending distant signals, this study presents a novel approach for the creation and optimization of a wide‐area damping controller (WADC). …”
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Efficiency Optimization Control Strategies for High-Voltage-Ratio Dual-Active-Bridge (DAB) Converters in Battery Energy Storage Systems by Hui Ma, Jianhua Lei, Geng Qin, Zhihua Guo, Chuantong Hao

“…Addressing the critical challenge of enhancing bidirectional power transfer efficiency under ultra-high step-up ratios, which is essential for integrating renewable energy sources and battery storage systems into modern power grids, an optimized control strategy is proposed. …”
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Microbial decolorization of anthraquinone dyes: batch and continuous treatment systems - a mini-review by Swati Sambita Mohanty, Arvind Kumar

“…IntroductionEnvironmental pollution and human exposure to dyes, particularly anthraquinone-based dyes from industries like textiles, paints, plastics, paper, and tanneries (a significant source of toxic waste in India), have increased. These dyes in wastewater pose a serious environmental threat due to their complex structure and resistance to traditional degradation methods. …”
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Mathematical Model for Searching for an Optimal Solution to the Problem of Forming Supply Chains for Raw Materials of Forestry Enterprises under Conditions of Uncertainty by R. S. Rogulin

“…The following research methods were proposed: mathematical modeling, theory and optimization methods. …”
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Optimization of factors affecting biogas production from dairy wastewater using Response Surface Methodology and its kinetic and microbial analysis by Sadok Saadia, Benmehdi Houcine, Baraka Abdelhak, Makhloufi Ahmed

“…Anaerobic digestion is one of the most widely used treatment methods for producing methane as an alternative energy source. …”
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Societal attitudes and structural barriers in coaching para-athletes: A mixed-methods systematic review. by Junyan Liu, Hongjun Yu, Waifong Catherine Cheung, Adam Bleakney, Yih-Kuen Jan

“…A mixed-methods approach was employed to synthesize data from 26 studies sourced from PubMed, Web of Science, SPORTDiscus, and Google Scholar. …”
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Exploring the product costing methods of micro foodservice businesses in Pagadian city: a case study by Ryan Patrick Jumawid, Jay Marie Maraon, Ozamae Tinambing, Eligen H. Sumicad Jr., Ace Virgel T. Batingal

“…This study explores the product costing methods employed by micro foodservice businesses in Pagadian City, focusing on how owners navigate operational challenges, financial constraints, and market competition. …”
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Comparison of two pre-fuel cell carbon capture systems employing methane decomposition and hydrogen membrane: Regression-based machine learning and optimization approach by Amirali Nouri, Araz Emami, Ata Chitsaz, Alireza Fathipour, Navid Kousheshi, Ava Karshenas

“…This study examines two systems designed to operate with zero carbon dioxide emissions, each utilizing different methods for heat generation to support methane decomposition for hydrogen production. …”
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Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy by Mehdi Eslamifar, Hamed Tavakoli, Eiko Thiessen, Rainer Kock, José Correa, Eberhard Hartung

“…A total of 333 soil samples were sourced from different farms across Northern Germany, analyzed using two NIR spectrometers, and their properties were measured in a certified lab. …”
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Current Status, Challenges and Future Perspectives of Operation Optimization, Power Prediction and Virtual Synchronous Generator of Microgrids: A Comprehensive Review by Ling Miao, Ning Zhou, Jianwei Ma, Hao Liu, Jian Zhao, Xiaozhao Wei, Jingyuan Yin

“…First, this review describes the concept and structure of microgrids, including components such as distributed power sources, energy storage devices, energy conversion devices and loads. …”
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Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

“…[Objective] Under the advancing energy transition driven by China's national "dual-carbon" strategy， the escalating penetration of renewable energy （RE） sources has not only heightened power system spinning reserve requirements due to their inherent stochasticity and volatility in generation patterns， but has also precipitated a marked surge in peak-shaving and frequency regulation expenditures necessary for maintaining power supply reliability. …”
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Quantification of Minerals in Edible Mushrooms via Optimized Microwave-Assisted Digestion: Nutritional Contributions of Fe, Mg, Na, K, and Ca by Alejandro R. López, Elena Ortega-Caneda, Estrella Espada-Bellido, Oscar R. Taracena-Zepeda, Miguel Palma, Gerardo Fernández-Barbero

“…Thus, the aim of this study was to determine the mineral composition of different cultivated (<i>A. bisporus</i> and <i>P. ostreatus</i>) and wild edible mushrooms (<i>A. crocodilinus</i>, <i>A. arvensis</i>, <i>A. silvicola</i>, <i>A. impudicus</i>, <i>M. mastoidea</i>, <i>M. rhacodes,</i> and <i>P. ostreatus</i>) collected in the south of Spain and north of Morocco. First, the optimization of a microwave-assisted digestion method was carried out using a Box–Behnken design with a response surface methodology to quantify the total content of five metals: Fe, Mg, Na, K, and Ca in mushrooms. …”
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