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  1. 301

    Managing energy consumption in FPGA-based edge computing systems with soft-core CPUs by Oleksandr Hryshchuk, Sergiy Zagorodnyuk

    Published 2025-05-01
    “… Edge computing, characterized by processing data closer to its source, has emerged as a promising paradigm to address the challenges of latency, bandwidth, and privacy in the Internet of Things (IoT) era. …”
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    Article
  2. 302

    Study on the Development Trend of Hydroelectric Power Generation by Luo Huiyu

    Published 2025-01-01
    “…As a clean and renewable energy source, hydropower occupies an important position in China's energy transition. …”
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    Article
  3. 303

    Cloud-edge MQTT messaging for latency mitigation and broker memory footprint reduction by Yi-Hsuan Tseng, Chao Wang, Yu-Tse Wei, Yu-Ting Chiang

    Published 2025-03-01
    “…The article introduces three message scheduling policies for subscribers deployed at network edge, and a memory allocation scheme for MQTT broker deployed at network cloud. …”
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    Article
  4. 304

    A Survey of Localization in Wireless Sensor Network by Long Cheng, Chengdong Wu, Yunzhou Zhang, Hao Wu, Mengxin Li, Carsten Maple

    Published 2012-12-01
    “…The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. …”
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    Article
  5. 305

    Optimization of Home Energy Management Systems in Smart Cities Using Bacterial Foraging Algorithm and Deep Reinforcement Learning for Enhanced Renewable Energy Integration by Mohammed Naif Alatawi

    Published 2024-01-01
    “…At the same time, DRL enhances the system’s ability to learn and optimize scheduling decisions over time, showcasing their combined efficacy in real-world scenarios. …”
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    Article
  6. 306

    Integrated local energy market-based optimization framework for multi-energy microgrid considering power grid AC constraints and usage price by Amirhamzeh Farajollahi, Meysam Feili

    Published 2025-03-01
    “…In order to mitigate the intermittent nature of renewable energy sources, natural gas networks play a prominent role in integrating electricity and gas grids. …”
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    Article
  7. 307

    On Frequency Response Control of Future Grid by Weidong LI

    Published 2018-02-01
    “…This will provide the references for planning, scheduling and dispatching of frequency response control measures and the participants of kinds of subject in frequency control. …”
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    Article
  8. 308

    LNDIR: A lightweight non-increasing delivery-latency interval-based routing for duty-cycled sensor networks by Muhammad K Shahzad, Dang Tu Nguyen, Vyacheslav Zalyubovskiy, Hyunseung Choo

    Published 2018-04-01
    “…Furthermore, this novel routing can also guarantee the minimum delivery latency from each source to the sink. Performance improvements of up to 12-fold and 11-fold are observed in terms of routing traffic load reduction and energy efficiency, respectively, as compared to existing schemes.…”
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    Article
  9. 309

    Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences by Ying-Yi Hong, Jay Bhie D. Santos

    Published 2025-04-01
    “…The reliable scheduling of wind power generation heavily relies on precise wind speed forecasts. …”
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    Article
  10. 310

    Review on key technologies for coordinated operation of microgrid cluster by LOU Guannan, WANG Lei, LIN Da, DU Yuhua

    Published 2025-06-01
    “…With the large-scale integration of distributed renewable energy (DRE), the operational complexity and control difficulty of microgrid cluster significantly increase. A reasonable multi-source coordinated control strategy is critical to ensuring the stable, reliable, and efficient operation of the system and is also the foundation for achieving optimal configuration and intelligent scheduling. …”
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    Article
  11. 311

    Dispatching of distribution networks with high permeability distributed new energy based on phase shifting transformer loop-closing device by Gao Xiaochen, Xu Haoran, Zhao Xin, Gao Shan, Xie Haixiang, Zhang Ningyu, Li Qun, Yang Yue

    Published 2025-02-01
    “…To address the issue of curtailment in wind and photovoltaic power due to high penetration of distributed renewable energy sources in multi-partition distribution networks, and to enhance operational efficiency and voltage quality, a day-ahead and intra-day scheduling strategy based on Phase Shifting Transformer (PST) loop-closing device is proposed. …”
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    Article
  12. 312

    A Method for Fault Localization in Distribution Networks with High Proportions of Distributed Generation Based on Graph Convolutional Networks by Xiping Ma, Wenxi Zhen, Haodong Ren, Guangru Zhang, Kai Zhang, Haiying Dong

    Published 2024-11-01
    “…To address the issues arising from the integration of a high proportion of distributed generation (DG) into the distribution network, which has led to the transition from traditional single-source to multi-source distribution systems, resulting in increased complexity of the distribution network topology and difficulties in fault localization, this paper proposes a fault localization method based on graph convolutional networks (GCNs) for distribution networks with a high proportion of distributed generation. …”
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    Article
  13. 313

    Deep neural network application in real-time economic dispatch and frequency control of microgrids by Liu Jun

    Published 2025-03-01
    “…Finally, a real-time integrated scheduling and control framework for microgrids is constructed. …”
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    Article
  14. 314

    Day-Ahead Net Load Forecasting for Renewable Integrated Buildings Using XGBoost by Spencer Kerkau, Saeed Sepasi, Harun Or Rashid Howlader, Leon Roose

    Published 2025-03-01
    “…With the large-scale adoption of photovoltaic (PV) systems as a renewable energy source, accurate long-term forecasting benefits both utilities and customers. …”
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    Article
  15. 315

    Road Temperature Modelling Without In-Situ Sensors by Karol Opara, Jan Zieliński

    Published 2017-12-01
    “…It is used for predicting the glaze formation and for scheduling the spraying of the de-icing brine. The road weather is commonly forecasted by solving the energy balance equations. …”
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    Article
  16. 316

    Learning-based parallel acceleration for HaplotypeCaller by Xiangxing Lai, Minguang Xiao, Lingling Weng, Zhiguang Chen

    Published 2025-08-01
    “…By employing adaptive data segmentation algorithms and Multi-Knapsack Problem (MKP) based task scheduling, LPA significantly alleviates computational skew. …”
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    Article
  17. 317

    A Make-to-Order Capacitated Lot-Sizing Model with Parallel Machines, Eligibility Constraints, Extra Shifts, and Backorders by Felipe T. Muñoz, Juan Ulloa-Navarro

    Published 2025-05-01
    “…The MILP model is solved using open-source optimization tools, specifically the HiGHS solver. …”
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    Article
  18. 318

    Approximating actual flows in physical infrastructure networks: the case of the Yangtze River Delta high-speed railway network by Zhang Weiyang, Derudder Ben

    Published 2016-03-01
    “…This study presents a method to improve our estimation of urban interaction in and through infrastructure networks by focusing on the example of passenger railways, which is arguably a key potential data source in research on urban networks in metropolitan regions. …”
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    Article
  19. 319

    IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

    Published 2024-08-01
    “…Testing was conducted on two widely used open-source IKE protocol implementations, strongSwan and Libreswan, resulting in the revelation of 4 undisclosed vulnerabilities. …”
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    Article
  20. 320

    Optimal operation for hybrid AC and DC systems under typhoon disaster considering branch switching and frequency security by Changfeng Liao, Li He, Zhuangxi Tan, Bin Xie, Yong Li, Chaoyang Chen, Yijia Cao

    Published 2025-07-01
    “…To address this issue, this paper proposes an optimal operation method for hybrid AC/DC systems with voltage source converters (VSCs) during extreme events. The model incorporates topology optimization to handle continuous structural changes in the system caused by such events. …”
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    Article