Identifying missing sources and reducing NO_<i>x</i> emissions uncertainty over China using daily satellite data and a mass-conserving method by L. Lu, L. Lu, J. B. Cohen, J. B. Cohen, K. Qin, K. Qin, X. Li, X. Li, Q. He, Q. He

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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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A Novel Ship Fuel Sulfur Content Estimation Method Using Improved Gaussian Plume Model and Genetic Algorithms by Chao Wang, Hao Wu, Nini Wang, Zhirui Ye

“…The emission source intensity inversion was formulated as an unconstrained multi-dimensional optimization problem, solved using genetic algorithms. …”
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A Quantum Q-Learning Fault Diagnosis Method for Intelligent Manufacturing Equipment by Yi Chen, Kai Deng, Xuelin Du, Zichao Chang, Tong Wan

“…The distinct advantages of quantum computing are innovatively integrated with the decision-making framework of Q-learning through this method. By harnessing the multi-information-carrying capacities of qubits, vast amounts of multi-source heterogeneous data generated during equipment operation can be efficiently processed. …”
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Distributed Relative Pose Estimation for Multi-UAV Systems Based on Inertial Navigation and Data Link Fusion by Kun Li, Shuhui Bu, Jiapeng Li, Zhenyv Xia, Jvboxi Wang, Xiaohan Li

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

“…The massive integration of variable renewable energy sources (RESs) poses the gradual necessity for new power system architectures with wide implementation of distributed battery energy storage systems (BESSs), which support power system stability, energy management, and control. …”
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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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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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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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TECHNICAL AND ECONOMIC OPTIMIZATION OF THE DAILY WORK OF THE ACCUMULATOR IN SOLAR-WIND POWER GENERATION SYSTEMS by V. V. Fedorenko, V. V. Samoylenko, V. S. Azab, I. V. Samoylenko

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Evaluating conventional and renewable energy systems for green buildings: A case study on energy efficiency and cost optimization by Karim Mohamed Ragab, Mehmet Fatih Orhan

“…This study explores two primary categories of power generation: conventional methods reliant on fossil fuels and renewable energy methods. …”
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Heat transfer optimization in magnetohydrodynamic buoyancy-driven convective hybrid nanofluid with carbon nanotubes over a slippery rotating porous surface by Thirupathi Thumma, Surender Ontela, Devarsu Radha Pyari, S.R. Mishra, Subhajit Panda

“…The current study establishes that the liquid momentum is controlled for the slip flow, thus with the slip condition, the amount of retardation is much higher in comparison with the no-slip condition, and the temperature of the hybrid nanofluid has been raised by a greater heat source coefficient and radiation factor. Further, the sensitivity and optimization analysis of the heat transmission rate is carried out using RSM with face-centered central composite design model of experiments. …”
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Influence of Hall current and Soret effects on three-dimensional rotating Casson hybrid nanofluid flow over a stretched surface in the presence of heat source/sink by Shaik Nazia, B Seshaiah

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Uncertainty-aware multi-objective growth optimizer of EV charging stations allocation in unbalanced grids by Abdullah M. Shaheen, Aya R. Ellien, Adel A. El-Ela, Ali M. El-Rifaie

“…The proposed approach incorporates key sources of uncertainty, such as variability in base electrical loads, intermittent outputs from renewable energy sources (RESs), and stochastic patterns of BEV charging behavior, using Hong’s Three-Point Estimate Method (H3PEM). …”
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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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Novel Airfoil-Shaped Radar-Absorbing Inlet Grilles on Aircraft Incorporating Metasurfaces: Multidisciplinary Design and Optimization Using EHVI–Bayesian Method by Xufei Wang, Yongqiang Shi, Qingzhen Yang, Huimin Xiang, Saile Zhang

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Use of Chitosan and Chitosan–Magnetite Spheres for Arsenic Groundwater Removal: Factorial Designs as Tools to Optimize the Efficiency of Removal by Mayra Hernández Trespalacios, María Florencia Mangiameli, Lina Gribaudo, María Inés Frascaroli, Juan Carlos González

“…In Santa Fe, Argentina, the population uses groundwater as a source of drinking water. Unfortunately, it has high concentrations of As(V), which makes it unsuitable for consumption. …”
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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…For rapid data annotation, a batch annotation method combining human expertise and multi-frame superposition is proposed. …”
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