Showing 181 - 200 results of 4,920 for search '(( source optimization (method OR methods) ) OR ( sources optimization (method OR methods) ))', query time: 0.25s Refine Results
  1. 181

    Energy and Environmental Optimization of a Bituminous Waterproofing Plant for BTEX Emission Mitigation Using Incinerator and Oxidation Method by Zahra Soltanianzade, Mohsen Mirmohammadi, Mohammad Ali Zahed

    Published 2023-05-01
    “…In this regard, the process modification based on the Incinerator designing and using the thermal oxidation method has been evaluated. The optimization study involves the analysis of key variables such as temperature and residence time for optimization. …”
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    Optimization Configuration Method for Grid-Forming and Grid-Following Energy Storage Based on Node Frequency Deviation Coefficient by Kaize Zheng, Le Wang, Zhenghong Tu, Ying Xu

    Published 2025-05-01
    “…Furthermore, the demand for grid-forming energy storage at each node of the power system under different operation scenarios can be quantified according to this method. Finally, an optimization configuration method for an energy storage system that can improve the inertia distribution characteristics of the power system is proposed, and its effectiveness is verified through the 39-bus system.…”
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  5. 185

    A Multistep Method for Automatic Determination and Optimization of Microseismic P-Phase Arrival Times in a Coal Mine by Quanjie Zhu, Xiaohui Liu, Xiaoyun Liu, Haitao Chai, Jianjun Shi

    Published 2019-01-01
    “…This method is applied for a precise determination of P-phase arrival time; in addition, an automatic quality estimate is obtained to optimize and select the effective stations and used for source location. …”
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  6. 186

    Research on the Modelling and Analysis of the Penetration of Renewable Sources and Storage into Electrical Networks by Eva Simonič, Sebastijan Seme, Klemen Sredenšek

    Published 2025-04-01
    “…To address the growing integration of renewable energy sources and storage systems into distribution networks, there is a need for effective tools that can assess the impact of these technologies on grid performance. …”
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    Article
  7. 187

    Scientific planning of dynamic crops in complex agricultural landscapes based on adaptive optimization hybrid SA-GA method by Changlong Li, Zengye Su, Yudan Nie, Zhiyi Ye, Jinyi Li, Jing Wang, Zicong Yang, Xuxin Li, Weijian Zeng, Yanjian Chen

    Published 2025-08-01
    “…Abstract Effective dynamic agricultural planning is crucial for optimising resource allocation and ensuring income stability, yet conventional methods often face limitations in adapting to the complex and variable conditions of mountainous regions, particularly under fluctuating climate and market pressures. …”
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  8. 188

    Virtual Cluster Partitioning Method of Active Distribution Networks Using Quantum Particle Swarm Optimization and Sector Search by Wei Liu, Yifan Tong, Xinran Xing, Xi Chen, Bo Hu, Qian Sun, Yufei Wang, Huaxin Li, Huidong Guo

    Published 2025-04-01
    “…Finally, case studies conducted on the modified PG&E 69‐node system demonstrated the proposed method's significant advantages. The method improved computational efficiency, with a cluster power supply rate over 0.6 and modularity above 0.7, ensuring balanced partitioning. …”
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    A spatial matrix factorization method to characterize ecological assemblages as a mixture of unobserved sources: An application to fish eDNA surveys by Letizia Lamperti, Olivier François, David Mouillot, Laëtitia Mathon, Théophile Sanchez, Camille Albouy, Loïc Pellissier, Stéphanie Manel

    Published 2024-12-01
    “…We present a spatial matrix factorization method that identifies optimal eDNA sample assemblages—called pools—assuming that taxonomic unit composition is based on a fixed number of unknown sources. …”
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  13. 193

    A Quantum Q-Learning Fault Diagnosis Method for Intelligent Manufacturing Equipment by Yi Chen, Kai Deng, Xuelin Du, Zichao Chang, Tong Wan

    Published 2025-07-01
    “…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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  14. 194

    Integration Method with Backpropagation by Nidhal AL-Assady, Jamal Majeed, Shahbaa Khaleel

    Published 2005-06-01
    “…To obtain the optimal weight with minimum iteration and minimum time, we applied a new method on many applications to prove the result of this method (pattern compression, encoding and recognition on Arabic, English digits and alphabetic.…”
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  15. 195

    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

    Published 2024-11-01
    “…This study explores two primary categories of power generation: conventional methods reliant on fossil fuels and renewable energy methods. …”
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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

    Published 2025-07-01
    “…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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  19. 199

    A Novel Renewable Energy Scenario Generation Method Based on Multi-Resolution Denoising Diffusion Probabilistic Models by Donglin Li, Xiaoxin Zhao, Weimao Xu, Chao Ge, Chunzheng Li

    Published 2025-07-01
    “…Scenario generation technology has emerged as a critical tool to quantify uncertainty and support dispatch optimization. Nevertheless, conventional scenario generation methods often fail to produce highly credible wind and solar output scenarios. …”
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