A capacity allocation model for source-side shared energy storage considering multiple typical scenarios by YAN Limei, HU Jianan, ZHAO Shuqi

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AUTONOMOUS POWER SUPPLY SYSTEMS WITH RENEWABLE SOURCES OF ENERGY AND SMART GRID by L. M. Chetoshnikova, N. I. Smolentsev, S. A. Chetoshnikov, G. V. Gusarov

“…Especially effective in this direction will be the construction of autonomous systems using renewable energy sources and local smart grids. The coordinated work of all elements of systems and optimal control of energy flows is solved by mathematical modeling methods.…”
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Optimal Operation Method for Microgrid with Wind/PV/Diesel Generator/Battery and Desalination by Qingfeng Tang, Nian Liu, Jianhua Zhang

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Optimizing infant neuroimaging methods to understand the neurodevelopmental impacts of early nutrition and feeding by Claudia A. Carreno, Megan E. Evans, Blakely K. Lockhart, Oziomachukwu Chinaka, Benjamin Katz, Martha Ann Bell, Brittany R. Howell

“…We also discuss current challenges, as well as the scientific and logistical limitations of each method. Once protocols have been optimized, these methods will provide the requisite insight into the underlying mechanisms of nutritional and feeding impacts on neurodevelopment, providing the missing piece in the field’s efforts to understand this essential and ubiquitous part of early life.…”
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Optimization Method of Generation Rights Transaction Mechanism for Power System Accommodation Improvement by Haoliang XU, Panrun JIN, Jiheng JIANG, Zongxiang LU, Ying QIAO

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A brief comparison of algorithms and methods for optimization of electric vehicles charging strategies by Arpita Bharti, Rajeev Kumar Chauhan

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Multi energy dynamic soaring trajectory optimization method based on reinforcement learning by ZHANG Yunfei, WANG Honglun, ZHANG Menghua, GONG Yinan

“…The experiments initially validate the approach through simulation of two classic modes of dynamic soaring, followed by Monte Carlo simulations considering multiple energy sources. The results indicate that the dynamic soaring trajectory optimization method based on deep reinforcement learning achieves energy acquisition comparable to optimal outcomes within a single soaring cycle, with a 91% reduction in real-time inference decision time. …”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism by Wenjia Sun, Chunchun Hu, Nianxue Luo, Qiansheng Zhao

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A load margin calculation method considering optimized reactive power support by Yuejian Wu, Xiaoming Dong, Tianguang Lu, Shunxiang Yu, Chengfu Wang, Zhengshuo Li

“…However, reactive power optimization for traditional and emerging forms of reactive power sources is ignored in conventional methods to calculate load margin (LM), which could cause conservative results or even decision-making misplay. …”
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Research methods of car body design optimizing for improving vehicle vibroacoustic performances by Batizi V.M., Likhachev D.S.

“…The need to improve vibration protection systems, to conduct vibroacoustic analysis and develop new methods for optimizing vehicle vibrations as a whole is a modern and urgent task for the automotive industry.In the research work, we investigated vibration and noise problems associated with the integration of the transmission of the vehicle body, as defined methods to improve vibration isolation properties of the vehicle by optimizing vehicle body stiffness characteristics.The practical significance of the work is to identify recommendations for reducing the vibration loads transmitted to the driver, which will make it possible to make optimal technical decisions in the early stages of the development of the vehicle body.Using engineering analysis or combined methodologies, the process for optimizing the vibroacoustic characteristics of the vehicle should be based on a systematic approach and evaluate the appropriate compromise between a high level of safety, weight reduction, ensuring vehicle fuel economy and customer requirements such as controllability and vibroacoustic comfort.In the article, based on the analysis of literary sources, vibroacoustic phenomena associated with various transmission components and subsystems are identified. …”
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DENTAL IMPLANTATION AS A METHOD OF OPTIMIZING TREATMENT OF PATIENTS WITH COMPLETE DENTAL TEETH by O.V. Dobrovolskaya

“…The development of new methods of surgical interventions and prosthetics, the creation of new implant systems help us to increase the life of dentures on implants and to improve the quality of life of patients. …”
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Optimization of Energy-saving Operation Strategy of Heat Pump Hot-water System Using Stochastic Load Prediction by Liu Chengning, Liang Xingyu, Shao Liangliang, Zhang Chunlu

“…The energy-saving properties of the optimization method were verified and analyzed using an air-source heat pump hot-water system. …”
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Comprehensive review of energy management strategies: Considering battery energy storage system and renewable energy sources by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

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Multi-time scale source and load intelligent scheduling method for distribution network based on multi-agent game by Tang Junci, Li Tie, Pi Junbo, Wang Mingkai

“…Considering that the user demand will affect the effect of multi-time scale source load intelligent dispatching in distribution network to a certain extent, a multi-agent game based multi-time scale source load intelligent dispatching method is proposed. …”
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Open-source electronics Arduino platform for soil water measurement with the dual-probe heat-pulse (DPHP) method by Shinsuke Aoki, Tamir Kamai

“…In this manuscript, we report on implementation of this method using a custom-made inexpensive open-source electronic hardware measurement system, based on the Arduino Uno platform. …”
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Microseismic Electronic Fencing for Monitoring of Transboundary Mining in Mines by Jianbiao Yang, Guangyin Lu, Lei Li, Dazhou Zhang

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Solving the Single-Source Capacitated Facility Location Problem Using a Crow Search-Based Hybrid Method by Wangyue Xu, Martino Luis, Baris Yuce

“…The Single Source Capacitated Facility Location Problem (SSCFLP) stands as a pivotal yet highly complex challenge in facility location science, underpinning real-world supply chains where single-sourcing constraints are critical for service quality and operational efficiency. …”
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The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) by Mohammad Ganje, Somayyeh Gharibi, Fatemeh Nejatpour, Maryam Deilamipour, Kimia Goshadehrou, Sahra Saberyan, Gholamreza Abdi

“…In order to optimize polyphenol extraction from ripe jamun fruit pulp, including traditional and ultrasound-assisted methods, this study assessed the prediction power of response surface methodology (RSM) and adaptive neuro-fuzzy inference systems (ANFIS). …”
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Multi-Objective Optimization of Buildings’ Exterior Wall Insulation Based on Comprehensive Analysis Models and Assessment Indexes by Haitao Wang, Zhu He, Chengzhou Guo

“…The presented multi-objective optimization method is very helpful in solving the complex engineering problem of optimizing external wall insulation.…”
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A Multi-Source Domain Adaptation Method for Bearing Fault Diagnosis with Dynamically Similarity Guidance on Incomplete Data by Juan Tian, Shun Zhang, Gang Xie, Hui Shi

“…This method leverages incomplete data from multiple-source domains to address distribution disparities in deep domain adaptation. …”
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