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  1. No Access

    Chapter

    Overview of Flexible Load Control

    Flexible load control refers to the ability to manage and adjust the consumption of electrical loads in response to changing energy supply and demand conditions.

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

  2. No Access

    Chapter and Conference Paper

    DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste

    The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and pastes it onto the current training data frame to increase the number of training object samples. However, the samples used by MoC...

    Junjie Zhang, Shao** Wu, Junbin Gao, Fusheng Yu in Advances in Neural Networks – ISNN 2024 (2024)

  3. No Access

    Chapter and Conference Paper

    FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease Detection

    Congenital heart disease (CHD) is the most common congenital malformation and imaging examination is an important means to diagnose it. Currently, deep learning-based methods have achieved remarkable results i...

    Lei Jiang, Junlong Cheng, Jilong Chen in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net

    Single-channel speech enhancement research in complex industrial production environments is limited. Current methods, whether based on attention mechanisms or generative adversarial networks, primarily focus o...

    Rongxin Qin, Zhigang Lian in 6GN for Future Wireless Networks (2024)

  5. No Access

    Chapter and Conference Paper

    Environment Driven and Task Driven Modeling of Air-Sea Cross-Domain Channels

    This article uses a combination of environment-driven and task-driven methods to model the channel in a cross-domain communication system involving UAV, gateways, and underwater nodes. The modeling process inc...

    Zhigang Shang, Han Yu, Tao Wen, Mo Li in Proceedings of 3rd 2023 International Conf… (2024)

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    Chapter and Conference Paper

    RTMDet-R2: An Improved Real-Time Rotated Object Detector

    Object detection in remote sensing images is challenging due to the absence of visible features and variations in object orientation. Efficient detection of objects in such images can be achieved using rotated...

    Haifeng **ang, Naifeng **g, Jianfei Jiang in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    CSFuser: A Cascade Siamese Fusion Architecture for RGB-Infrared Object Detection

    RGB-Infrared multi-modal object detection harnesses diverse and complementary information from RGB and infrared images, offering significant advantages in intelligent transportation. The primary challenge lies...

    Ziyi Li, Gang Zhang, Zhigang Zeng, **aolin Hu in Advances in Neural Networks – ISNN 2024 (2024)

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    Chapter

    Data Center Flexible Load Control for Renewable Energy Integration

    Data center microgrids (DCMGs) have been recently established to address the above challenging issues of electricity cost and environmental impact. Therein, various work have contributed to reduce the cost of ...

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

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    Chapter

    Collaborative Response of Data Center Coupled with Hydrogen Storage System for Renewable Energy Absortion: A Global Interval Optimization Approach

    To replace the conventional thermal power on the supply side, the connection of high-capacity renewable energy, such as wind power (WP) is considered to be one of the effective methods.

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

  10. No Access

    Chapter

    Demand–Supply Cooperative Responding Strategy in Power System with High Renewable Energy Penetration

    Currently, human development is significantly constrained by energy and environmental crises. Renewable energy (RE) is considered as the solution for replacing conventional energy, because it is more environme...

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

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    Chapter

    Electric Vehicle Flexible Charging Load Control for Comprehensive Energy System Operation with Renewable Energy

    In the present day, the sustainable development of modern society is threatened by the energy crisis and global warming. Efficient use of renewable generations (RGs) such as wind turbines (WT) and photovoltaic...

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

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    Chapter

    Data-Driven Distributionally Robust Scheduling of Community Comprehensive Energy Systems Considering Integrated Load Control

    Recently, the depletion of fossil fuels and escalating environmental pollution have emerged as primary challenges confronting human civilization. The advent and progression of renewable generations (RGs) prese...

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

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    Chapter

    Data Center Load Control Based Microgrid Operation via Robust Multi-objective Optimization

    With the development of information technology, such as big data, internet of things, and cloud computing, the demands for data storage, computing, and processing are growing explosively.

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

  14. No Access

    Chapter

    Flexible Industrial Load Control for Renewable Power System Operation

    Renewable energy (RE) has been deployed significantly in recent years. Obviously, it is a suitable substitute of traditional thermal generators to achieve sustainable development of the world (Zhao et al. in I...

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

  15. No Access

    Chapter

    Battery Swap** Control for Centralized Electric Vehicle Charging System with Photovoltaic

    In recent years, electric vehicles (EVs) and their charging stations have been extensively utilized to promote clean, efficient, and sustainable energy development (Liu et al. in IEEE Trans Ind Electr 62:2560–...

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

  16. No Access

    Chapter

    Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments

    Environmental pollution and the depletion of traditional fossil fuels are pressing concerns. As a response, the international community is pursuing the development of renewable generation (RG) and improvements...

    Yuanzheng Li, Yang Li, Zhigang Zeng in Flexible Load Control for Enhancing Renewa… (2024)

  17. No Access

    Chapter and Conference Paper

    False Negative Sample Aware Negative Sampling for Recommendation

    Negative sampling plays a key role in implicit feedback collaborative filtering. It draws high-quality negative samples from a large number of uninteracted samples. Existing methods primarily focus on hard neg...

    Liguo Chen, Zhigang Gong, Hong **e in Advances in Knowledge Discovery and Data M… (2024)

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    Chapter and Conference Paper

    Parking Space Matching and Path Planning Based on Wolf Feeding Decision Algorithm in Large Underground Garage

    As cities grow, the number of complex underground parking garages with multiple entrances and exits is increasing. Randomly assigning parking spaces can lead to longer wait times for car owners during the park...

    Nan Dou, Zhigang Lian, Chunlei Guo in 6GN for Future Wireless Networks (2024)

  19. No Access

    Chapter and Conference Paper

    Improved Sparrow Search Algorithm Optimized Neural Network Analysis of Traffic Congestion

    Accurate traffic congestion prediction is of great significance for applications such as traffic control and route optimization. However, the traffic situation is affected by many complex factors, and the trad...

    Lu Banban, Lian Zhigang in 6GN for Future Wireless Networks (2024)

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    Chapter

    Prospects of Future Research Issues

    We have mentioned the difficulty of smart grid forecast and dispatch mainly lies in the strong uncertainty, curse of dimensionality and the trouble of establishing the accurate model. Fortunately, as one of th...

    Yuanzheng Li, Yong Zhao, Lei Wu in Artificial Intelligence Enabled Computatio… (2023)

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