Low-carbon optimization planning method for integrated energy system based on DG uncertainty affine model by JIANG Tao, XU Cong, JIA Shaohui, WANG Shen, ZHANG Yajian

“…Aiming at the problem that the output of distributed generators (DG) of new energy sources such as wind power and photovoltaic is uncertain due to changes in environmental factors, and the transaction price of the existing carbon trading model is fixed, resulting in increased carbon reduction costs, an integrated energy system optimization planning method that takes into account dynamic carbon emission constraints and DG uncertainty was proposed. …”
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SCUC Considering Loads and Wind Power Forecasting Uncertainties using Binary Gray Wolf Optimization Method by Majid Moazzami, Sayed Jamal Al-Din Hosseini, Hossein Shahinzadeh, Gevork B. Gharehpetian, Jalal Moradi

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RTAPM: A Robust Top-View Absolute Positioning Method with Visual–Inertial Assisted Joint Optimization by Pengfei Tong, Xuerong Yang, Xuanzhi Peng, Longfei Wang

“…This study proposes a reliable UAV top-down absolute positioning method (RTAPM) based on a monocular RGB camera that employs joint optimization and visual–inertial assistance. …”
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Enhancing Load frequency control in power systems using Puma Optimizer – Proportional Integral Derivative Method by Trung Kien Do, Thanh Long Duong

“…The control parameters of LFC must be optimally adjusted for stable system operation. However, researchers are currently unable to find a suitable and robust method for optimal tuning of LFC control parameters. …”
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RCS Special Analysis Method for Non-Cooperative Aircraft Based on Inverse Reconfiguration Coupled with Aerodynamic Optimization by Guoxu Feng, Chuan Wei, Jie Huang, Juyi Long, Yang Bai

“…To address the challenge of evaluating a radar cross-section (RCS) for a non-cooperative aircraft with limited aerodynamic shape information, this paper presents a multi-source, data-driven inverse reconstruction method. …”
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Optimization of Thermal and Pressure Drop Performance in Circular Pin Fin Heat Sinks Using the TOPSIS Method by Jemit Adhyaru, Mohan Uma, Vedagiri Praveena, Prabhu Sethuramalingam

“…This study aims to optimize the thermal performance of pin fin heat sinks by minimizing the maximum temperature of the heat source. …”
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A factor analysis based automatic optimization method of vibration sensor points for ship acoustic reconstruction by Linchang Ye, Yun Liu, Zongpeng Tong, Zhaowang Xia, Wenkun Fan, Chunyu Zhang, Junhua Guo, Jianping Shen

“…To address the challenge associated with optimizing the number and positioning of accelerometer points in ship acoustic reconstruction, factor analysis is applied to the automatic optimization of accelerometer position in this work according to the source independence of ship’s underwater radiated noise. …”
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Improving the efficacy against cucumber root-knot nematode and Alleviating the phytotoxicity of fluopyram by optimizing the application method by Yang Liu, Lin Dong, Yuan Gao, Kai Wang, Lingtao Meng, Beixing Li, Daxia Zhang, Feng Liu

“…However, as a common non-fumigation nematicide, its distribution in soil was often the key limiting factor that determined the efficacy and efficiency. To optimize the utilization of fluopyram against RKN, the control efficacy of application methods including blending-of-soil, root-irrigation, drip-irrigation, and furrow-irrigation and the correlation between nematicide distribution and efficacy were studied. …”
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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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The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperatur... by Biao Yang, Baowei Song, Cheng Cheng, Youpeng Zhao, Haiqin Yang, Yuchen Li, Zhongyi He

“…To address the issues of uneven temperature distribution and the difficulty of temperature control in microwave heating, a composite leader cluster consensus decision optimization strategy for multiple microwave source agents is proposed. …”
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Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Against the background of building new power systems, the rapid growth of distributed renewable energy sources, such as photovoltaic and wind power, has introduced many challenges for distribution network planning (DNP), including different source-load compositions, complex network topologies, and varied application scenarios. …”
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An integrated graph-spatial method for high-performance geospatial-temporal semantic query by Zichen Yue, Wei Zhu, Xin Mei, Shaobo Zhong

“…To address this issue, we propose GraST, a geospatial-temporal semantic query optimization method that integrates property graphs and relational databases. …”
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Investigation of Ionic Conductivity of Electrolytes for Anode-Free Lithium-Ion Batteries by Impedance Spectroscopy by Azhar Abdrakhmanova, Alfira Sabitova, Binur Mussabayeva, Bulbul Bayakhmetova, Zhanna Sharipkhan, Elmira Yermoldina

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Battery Sizing Method for Microgrids—A Colombian Application Case by Andres Felipe Zamora-Muñoz, Martha Lucia Orozco-Gutierrez, Dany Mauricio Lopez-Santiago, Jhoan Alejandro Montenegro-Oviedo, Carlos Andres Ramos-Paja

“…The introduction of renewable energy sources in microgrids increases energy reliability, especially in small communities that operate disconnected from the main power grid. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Aiming at the problems such as the uncertainty of distributed power output and the low efficiency of operation in the coupled system scheduling of distribution network and microgrid, an optimized scheduling model of Branch-bar operation with chance constraint based on the integration of deep learning method for distribution network and microgrid interconnection system is proposed. …”
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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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Localization of Near-Field Sources Based on Sparse Signal Reconstruction with Regularization Parameter Selection by Shuang Li, Wei Liu, Daqing Zheng, Shunren Hu, Wei He

“…In this paper, a new source localization method based on sparse signal reconstruction is proposed in the near-field. …”
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Screening of Novel Source for Genistein by Rapid and Sensitive UPLC-APCI-TOF Mass Spectrometry by Aparna Bettaiah, Hema Bommanamane Prabhushankar

“…The main objective of the current research work was to discover the novel source for genistein by the simple method of extraction and quantification. …”
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RETROSPECTIVE ANALYSIS OF HYPOXIC TRAINING IN ROAD CYCLING IN BULGARIA PERIOD (1945-1965) by Iv. Kolev

“…The study was conducted using the methods: study of information sources, document analysis, theoretical analysis and synthesis. …”
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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…This paper proposes a distributed version of DPP inference to enhance multi-source data diversification under limited communication budgets. …”
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