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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A systematic review on environmentally friendly hydrogen production methods: comparative analysis of reactor technologies for optimal efficiency and sustainability by Aisha Hamid, Raja Razuan Raja Deris, Siti Nur Amira Shaffee, Taufiq Yap Yun Hin, Divine Senanu Ametefe, Mohd Lokman Ibrahim

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Real-Time Multi-Agent Based Power Management of Virtually Integrated Microgrids Comprising Prosumers of Plug-in Electric Vehicles and Renewable Energy Sources by Nikolaos K. Sifakis, Fotis D. Kanellos

“…Future studies might concentrate on integrating the Internet of Energy (IoE) and implementing real-time Peer-to-Peer (P2P) energy transactions among participating agents, enhancing the capabilities of the proposed method and optimizing future energy systems.…”
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The Optimal Integration of Virtual Power Plants for the South African National Grid Based on an Energy Mix as per the Integrated Resource Plan 2019: A Review by Melissa-Jade Williams, Choong-Koo Chang

“…To achieve this, innovative methods must be found to integrate renewable energy sources while preserving grid stability. …”
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Assessment and enhancement of transfer capability for large-scale renewable generation base transmitted by voltage source converter based high voltage direct current system by Shiyuan Chen, Shunjiang Lin, Yuerong Yang, Kaiyun Jiang, Mingbo Liu

“…Voltage source converter based high voltage direct current transmission is a key method for transmitting large-scale renewable energy generation. …”
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Cost-Based Modeling for Optimal Energy Management of Smart Buildings with Renewable Energy Resources and Electric Vehicles Using a Scenario-Based Algorithm by Hanlie Cheng

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Distributionally Robust Policy and Lyapunov-Certificate Learning by Kehan Long, Jorge Cortes, Nikolay Atanasov

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Design of two-dimensional reflective imaging systems: an approach based on inverse methods by Sanjana Verma, Martijn J. H. Anthonissen, Jan H. M. ten Thije Boonkkamp, Wilbert L. IJzerman

“…We iteratively design reflectors using inverse methods from non-imaging optics and optimize them to obtain a system that produces minimal aberrations. …”
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An Integrated Optimal Allocation Method of Multi-energy Supply and Demand Side Resources for Load Resilience Enhancement of Distribution System by Xi ZHU, Bo ZENG, Hao XU, Jiaomin LIU

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Integrated computational and experimental evaluation of thermal optimization in energy pile groups in soft clay by Thiti Chanchayanon, Susit Chaiprakaikeow, Apiniti Jotisankasa, Shinya Inazumi

“…Energy piles, combining building foundations with ground source heat pump (GSHP) systems, offer a sustainable thermal solution for urban buildings. …”
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Control parameter identification method for virtual synchronous generator considering electric vehicles based on dynamic particle swarm optimization by Dongqi Wu, Yong Hu

“…To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method for the Virtual Synchronous Generator (VSG) converter model considering the integration of electric vehicles (EVs) based on the dynamic particle swarm optimization algorithm is proposed. …”
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A new hybrid distance and similarity based scenario reduction approach for stochastic economic operation of microgrid by Gaurav Gangil, Amit Saraswat, Sunil Kumar Goyal

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Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment by Liyuan Yang, Yongping Hao, Jiulong Xu, Meixuan Li

“…To mitigate the effects of target mobility, we develop a dynamic mission planning method based on local particle swarm optimization, enabling UAVs to adjust their search trajectories in response to real-time environmental inputs. …”
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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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Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach by Tirunagaru V. Sarathkumar, Arup Kumar Goswami, Baseem Khan, Kamel A. Shoush, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…Abstract Over time, the importance of virtual power plants (VPP) has markedly risen to seamlessly incorporate the sporadic nature of renewable energy sources into the existing smart grid framework. Simultaneously, there is a growing need for advanced forecasting methods to bolster the grid’s stability, flexibility, and dispatchability. …”
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Quaternion generative adversarial -driven Soc estimation using Tyrannosaurus optimizer for improving hybrid electric vehicles renewably powered energy management by M. Sivaramkrishnan, Jaganathan Subramani, Mohammad Mukhtar Alam, Liew Tze Hui

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A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System by Suliang Ma, Zeqing Meng, Yang Mei, Mingxuan Chen, Yuan Jiang

“…Conversely, relative to the efficiency-focused optimization function, the proposed method maintained a marginal 5.22% reduction in utilization efficiency while achieving a 6.46% improvement in economic performance. …”
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The Optimization of a Ternary Blend Using Grey Relation Analysis with the Taguchi Method for the Improved Performance and Reduction of Exhaust Emissions by Ganesh G. Naik, Hanumant M. Dharmadhikari, Sunil A. More, Ioannis E. Sarris

“…The best blending ratios are determined through a methodical process that employs optimization tools such as Grey Relation Analysis (GRA) with the Taguchi Method and ANOVA for validation. …”
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Search for Optimal Parameters for Gas Chromatographic Complex When Determining Sarin in Water Samples by Flame Photometric Detection Method by V. А. Ignatyev, L. V. Petrakova, М. А. Ponsov, А. А. Rodionov

“…In comparison with the initial method, the offered one is more sensitive in case of sarin concentration in water in the range from 6×10-6 to 1×10-4 mg/ml to 1,7 times. …”
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²¹⁰Po and ²¹⁰Pb content in the certain types of foodstuffs. Optimization of the analytical method by M. V. Kaduka, L. N. Basalaeva, T. A. Bekyasheva, S. A. Ivanov, N. V. Salazkina, V. V. Stupina, A. N. Kaduka

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