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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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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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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Optimization of Intelligent Distribution of Distribution Network in the Presence of Distributed Sources by Youle Song, Ding Nie, Litao Fan

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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

“…Abstract The accelerating global shift toward renewable energy sources is largely attributed to increased investments and the rising demand for electricity, driven by technological progress, population growth, and escalating fuel prices associated with traditional power generation. …”
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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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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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FI-SCAPE: A Divergence Theorem Based Emission Quantification Model for Air/Spaceborne Imaging Spectrometer Derived X_CH4 Observations by Yiyang Huang, Ge Han, Tianqi Shi, Siwei Li, Huiqin Mao, Yihuang Nie, Wei Gong

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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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Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods by Rad Stanev, Tanyo Tanev, Venizelos Efthymiou, Chrysanthos Charalambous

“…This research presents a methodology and realization of a set of 11 BESS models based on different machine learning methods. The performance of the proposed models is tested using real-life BESS data, after which a comparative evaluation is presented. …”
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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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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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Optimally and Independent Planned Microgrid with Solar-Wind and Biogas Hybrid Renewable Systems by HOMER by Mostafa Eidiani, Somayeh Mahnani

“…In this study, the amount of power exchange of sources in a microgrid independent of the distribution network and power distribution between resources and load supply have been simulated in the HOMER environment, and the output results show the optimization of power management in this network. …”
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An Active-Reactive Power Coordinated Robust Optimization Method for Electricity Gas Interconnection Based Multiple Interval Uncertain by LIN Chaohua, ZHANG Junda, WU Rongfen, LIANG Haitian, WANG Qiuping, LIAO Xiaobing

“…[Objective] To accurately describe the impact of the volatility and randomness of the output power of new energy sources on the operation of an electricity-gas interconnected system and improve the robustness of its optimal operation， a robust optimization method based on multiple-interval uncertainty sets is proposed. …”
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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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