Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Based on the above discussion, this paper proposes a DNP method based on deep reinforcement learning (DRL). …”
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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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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

“…This paper addresses this problem by formulating a method that combines economic and technical approaches to provide favorable relations between costs and performances. …”
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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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Enhancing stochastic optimal power flow with modified cheetah optimizer for integrating renewable energy sources by Majid Saeidi, Taher Niknam, Mohsen Zare, Zulfiqar Ali Memon

“…Abstract In this paper, a modified cheetah optimizer (MCO) algorithm is presented, which has been designed to address the optimal power flow (OPF) problem in power grids that utilize renewable energy sources (RES). …”
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Accurate GRACE terrestrial water storage estimations via a new fusion method by Min Dai, Hao Zhou, Wenjing Ma, Shuyun Zheng, Mingyang Xia, Yaozong Li, Zhicai Luo

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A Method for Identifying Key Areas of Ecological Restoration, Zoning Ecological Conservation, and Restoration by Shuaiqi Chen, Zhengzhou Ji, Longhui Lu

“…Focusing on the Henan section of the Yellow River Basin, this study established the regional ESP and conservation–restoration framework through an integrated approach: (1) assessing four key ecosystem services—soil conservation, water retention, carbon sequestration, and habitat quality; (2) identifying ecological sources based on ecosystem service importance classification; (3) calculating a comprehensive resistance surface using the entropy weight method, incorporating key factors (land cover type, NDVI, topographic relief, and slope); (4) delineating ecological corridors and nodes using Linkage Mapper and the minimum cumulative resistance (MCR) theory; and (5) integrating ecological functional zoning to synthesize the final spatial conservation and restoration strategy. …”
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Optimization of Intelligent Distribution of Distribution Network in the Presence of Distributed Sources by Youle Song, Ding Nie, Litao Fan

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Research on optimal power source for passenger transport eVTOL by Shigetoshi TOKUOKA, Yoshiki YAMAGATA, Yoshiaki OHKAMI

“…Our findings suggest that without the use of SAF, the battery system covered 43% of the 23 scenarios as an optimal power source. Meanwhile, when the SAF mixing ratio reached 50%, the series hybrid system was identified as the optimal and more versatile power source in 70% of scenarios.…”
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Uncertainty evaluation and model optimization in multi-source reservoir modeling by Pingshan Ma, Chengyan Lin, Haocheng liu, Shaohua Li, Shun Wang

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A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion by Yuhan Gao, Chao Dang, Jun Zhu, Yakun Xie, Ya Hu, Chunli Yan, Kun Yi, Chuan Yi, Xue Li

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Layered Operation Optimization Methods for Concentrated Solar Power (CSP) Technology and Multi-Energy Flow Coupling Systems by Chunchao Wu, Yonghong Zhao, Wulin Li, Jianjun Fan, Haixiang Xu, Dingkun Yuan, Zhongqian Ling

“…The traditional energy supply system, which uses electric heating separation and layered scheduling for distribution networks, makes it difficult to fully exploit the network resources and achieve globally optimal operation strategies. The principle and the main components of centralized solar power (CSP) generation technology are introduced, and a layered optimization method suitable for a multi-energy flow coupling system is discussed, which can realize collaboration between CSP and other renewable energy sources better and improve the operation efficiency and flexibility of the whole energy supply system.…”
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Comparative analysis of maximum power point tracking methods for power optimization in grid tied photovoltaic solar systems by Abubakar Elsafi, Akram A. Almohammedi, Mohammed Balfaqih, Zain Balfagih, Saeed Sabri

“…Under varying irradiance (1000–250 W/m2) and temperature (25–50 °C) conditions, I&C algorithm achieved a higher MPPT tracking efficiency of approximately 98.7%, compared to 95.2% for the P&O method. Additionally, I&C demonstrated faster convergence with a response time of 0.15 s and exhibited reduced power ripple (~ 1.2 kW) versus P&O (~ 3.8 kW), confirming its superior dynamic stability and steady-state performance.…”
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Response surface optimization of sedimentation efficiency for sustainable green microalgae harvesting using automated non-invasive methods by Amr M. Ayyad, Eladl G. Eltanahy, Mervat H. Hussien, Dina A. Refaay

“…Sedimentation efficiency was influenced by cell morphology, biochemical composition, and environmental factors such as pH, salinity, gas exchange, and culture volume. The optimized conditions not only improved harvesting precision and reproducibility but also reduced harvesting costs, highlighting the method’s potential for economic and environmentally sustainable deployment in large-scale microalgae-based production systems for biofuels, bioplastics, and high-value compounds. …”
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Optimization of Phellinus hartigii extracts: Biological activities, and phenolic content analysis by Orhan Ünal, Ayşenur Gürgen, Tetiana Krupodorova, Mustafa Sevindik, Şanlı Kabaktepe, Ilgaz Akata

“…Extracts from optimal conditions were further analyzed for antioxidant capacity (Rel assay kits, DPPH, FRAP), anticholinesterase activity (acetyl- and butyrylcholinesterase inhibition), antiproliferative activity (A549 lung cancer cell line), total phenolic content (Folin-Ciocalteu method), and phenolic compound profile (LC–MS/MS). …”
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Milk and cheesemaking whey as a sustainable source of extracellular vesicles: Exploring large-scale isolation methods with industrial and potential therapeutic applications by Andrea del Saz-Lara, María-Carmen López de las Hazas, João Tomé-Carneiro, Carmen Mazarío-Gárgoles, Judit Gil-Zamorano, Livia Balaguer, Lorena del Pozo-Acebo, Antonio González-Sarrías, María Ángeles Ávila-Gálvez, Juan Carlos Espín, Diego Gómez-Coronado, Francesco Visioli, Alberto Dávalos

“…These findings establish cheesemaking whey as a sustainable, pharmaceutical-grade EV source and validate scalable isolation methods suitable for therapeutic applications, providing essential groundwork for clinical translation of milk-derived EV-based drug delivery systems.…”
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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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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…A highly automated processing toolchain based on Python and MATLAB is developed. The method advances the state of the art through a novel polygon-based trajectory mapping algorithm and a systematic multi-source parameter extraction framework specifically designed for signal control optimization. …”
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METHODICAL APPROACH TO THE COST OPTIMIZATION FOR DELIVERY OF EXPECTED MATERIAL-TECHNICAL MEANS TO CONSUMER WITH TAKING ACCOUNT THEIR OPPORTUNENESS OF DELIVERY by Ihor V. Stupnytskyi

“…At the same time, the availability of MTM stocks from suppliers and the need for consumers is the source of this article. To resolve the issue of optimizing the costs of material and technical means delivering from suppliers to consumers, an optimization task is formulated and solved, conditions-restrictions are defined, which should be taken into account during the calculations.…”
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Boundary layer flow of a non-Newtonian fluid over an exponentially stretching sheet with the presence of a heat source/sink by Vinod Y．, K.R. Raghunatha, Suma Nagendrappa Nagappanavar, Nodira Nazarova, Manish Gupta, Sangamesh

“…This finite domain is effectively solved using the Taylor wavelet method, ensuring high accuracy. Key parameters, including the magnetic field, Casson fluid, radiation, heat source/sink, and Prandtl number, are analyzed to assess their impact on velocity, temperature profiles, surface skin friction, and heat transfer rates. …”
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