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Issues, Challenges, & Solution Option for On-Grid Multi-microgrid Game Theory: A Systematic Review

IEEE Access 2025年 13卷 76574-76608页

作者： Ahmad, Dimas Jalaluddin Hariyanto, Nanang Khayam, Umar Bandung Institute of Technology School of Electrical Engineering & Informatics China

Many studies have been conducted on the implementation of game theory approaches in optimizing energy trading and scheduling in multi-microgrid (MMG) systems, both in cooperative and non-cooperative games. This is because game theory is a rich field of study that can illustrate the self-interest nature of each player, in this case, each agent in the MMG system. However, there are still various issues in its implementation, both technical and non-technical. This article will focus on a systematic review of various relevant and credible literature papers on the game theory-based on-grid MMG topic using the Kitchenham method. The on-grid MMG system differs from the off-grid MMG system in that each MMG is connected with the conventional grid. This connection provides more flexibility in operation and various features, including multi-level interactions beyond peer-to-peer, asymmetric agents, the presence of distribution network operator, support and backup power from the grid, and an energy market pool. This literature review is done by collecting, analyzing, and understanding the issues and challenges in the implementation, the types of games and algorithms, techniques, and solution approaches used, as well as determining how far each game and existing solution can solve these problems. From the systematic review result, in general there are two types of games that can be played between agents: cooperative and non-cooperative, each with its own pros and cons. The technical issues and solutions in these games have been summarized with particular concern related to power systems, renewable energy, energy storage, agent interests, uncertainties, ICT, privacy and security, computation solutions, mechanisms, and cost and revenue. Research and future works recommendation related with on-grid MMG game theory subject is also described. © 2013 IEEE.

关键词： Commerce

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A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs)

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IEEE Access 2025年 13卷 75822-75846页

作者： Masykuroh, Kholidiyah Hendrawan Mulyana, Eueung Krishna, Farhan Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung40132 Indonesia

Video analytics is essential in smart city management, traffic monitoring, and security surveillance, where real-time decision-making is critical. However, the efficiency of these applications depends on optimizing video compression parameters to maintain high detection accuracy while minimizing bandwidth usage and computational costs. This paper presents a comprehensive survey of video compression optimization techniques, focusing on Quantization Parameter (QP), Frames per Second (FPS), Entropy Coding, and Motion Estimation for video analytics tasks. We examine traditional compression algorithms, machine learning-based approaches, dynamic parameter adjustment strategies, and hybrid models, each offering unique strengths and limitations. Our findings highlight that adaptive compression techniques improve the trade-off between detection accuracy and efficiency. However, challenges remain, particularly in dynamic and bandwidth-constrained environments. To evaluate these techniques, we employ AccMPEG. This video compression framework dynamically adjusts compression settings based on real-time inference feedback, ensuring an optimal balance between detection accuracy and bitrate efficiency. In addition, we assess perceptual quality using Just Noticeable Distortion (JND) and Mean Opinion Score (MOS). The results indicate higher QP values lead to noticeable quality degradation, particularly at lower bitrates. Motion estimation techniques influence perceived quality, and TESA achieves MOS ratings higher than alternative methods. Furthermore, H.265 demonstrates superior MOS scores compared to H.264 at lower bitrates, reinforcing its higher compression efficiency while preserving visual clarity. Despite these advancements, the generalization of findings is limited, as the dataset consists mainly of traffic videos, which may not fully represent other video analytics applications. Future research should explore a broader range of datasets and develop adaptive compression frame

关键词： Bandwidth compression

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Ortho-3DGS: True Digital Orthophoto Generation From Unmanned Aerial Vehicle Imagery Using the Depth-Regulated 3D Gaussian Splatting

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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 10972-10994页

作者： Yang, Junxing Cai, Zhenglong Wang, Tianjiao Ye, Tong Gao, Haoran Huang, He Beijing University of Civil Engineering and Architecture School of Geomatics and Urban Spatial Informatics Beijing102616 China

True digital orthophoto maps (DOMs) are vital spatial data sources due to their high precision, detail, and accessibility. However, traditional generation methods using image differential correction with DEM/DSM often produce significant distortions from inaccurate surface data and missing building information. Conventional geometric stitching and radiometric correction methods struggle to improve quality. While neural radiance field (NeRF)-based view synthesis offers progress, issues remain in training efficiency, rendering quality, and scene editability. To address these limitations, we propose Ortho-3DGS, a novel method for orthophoto generation from UAV imagery using 3D Gaussian Splatting (3DGS). Unlike NeRF, our approach models scenes via 3D Gaussian ellipsoids, optimized with depth supervision and gradient-based refinement for explicit and accurate reconstruction. We design a dedicated orthophoto rendering pipeline to generate high-quality, distortion-free DOMs efficiently. Experiments show Ortho-3DGS surpasses traditional tools (ContextCapture, Pix4Dmapper, Metashape) and NeRF-based methods (Ortho-NeRF, Ortho-NGP) in both radiometric and geometric performance. Ortho-3DGS offers commercial-grade accuracy while effectively mitigating distortions and artifacts, especially in complex environments. These results demonstrate its value for fast, precise orthophoto generation in diverse geospatial applications. © 2008-2012 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Mechanoadaptive Bioelectronics for Deep Tissue Sensing

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Chinese Journal of Chemistry 2025年第5期43卷 567-584页

作者： Xueyang Ren Yuehui Yuan Jianqing Li Benhui Hu School of Biological Science and Medical Engineering Southeast UniversityNanjingJiangsu210096 China School of Biomedical Engineering and Informatics Nanjing Medical UniversityNanjingJiangsu211166 China School of Instrument Science and Engineering Southeast UniversityNanjingJiangsu210096 China

Comprehensive Summary Deep-tissue physiological signals are critical for accurate disease *** clinical equipment,however,often falls short of enabling continuous,long-term *** and implantable flexible electronics offer a promising avenue for addressing this limitation,allowing in vivo signal collection and paving the way for early diagnosis and personalized treatment.A major challenge lies in ensuring that these devices seamlessly integrate with the diverse physiological microenvironments throughout the human body.

关键词： Wearable electronics Implantable electronics Deep-tissue sensing Mechanoadaptive electronics Shape adaptive electronics Flexible electronics Stimuli-responsivepolymers Hydrogels

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A deep learning-enhanced observation-domain multipath mitigation study of BDS-3

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Advances in Space Research 2025年第10期75卷 7049-7064页

作者： Liu, Chao Tong, Runfa Tao, Yuan Chen, Jian Wang, Jian School of Spatial Information and Geomatics Engineering Anhui University of Science and Technology Huainan232001 China School of Mining and Geomatics Hebei University of Engineering Handan056038 China School of Environment and Spatial Informatics China University of Mining and Technology Xuzhou221116 China School of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and Architecture Beijing102616 China

Multipath is the main error source limiting high-precision Global Navigation Satellite System (GNSS) positioning. Multipath repeat periods of the three kinds of orbital satellites are inconsistent based on the study of the BeiDou navigation satellite system orbital repeat period. The use of advanced sidereal filtering (ASF) requires accurate calculation of the repeat periods for each satellite, which increases the complexity of the ASF model and is insensitive to satellite orbital maneuvers. Therefore, we propose a deep learning-enhanced (DL) observation-domain multipath mitigation method, in which the single difference residuals are trained to obtain multipath models that tend to be optimal using a convolutional neural network and long short-term memory. We obtained the predicted multipath by inputting previous single difference residuals into the multipath model in the process of real-time multipath mitigation. Experiments show that the proposed method can extract multipath information for more range frequencies (0.006–0.040 Hz) than the ASF and multipath hemispherical map (MHM) methods, and avoids the process of calculating repeat periods. In the single difference residuals, the DL method improved by 8.11 % and 9.27 % over the ASF and MHM methods;in the coordinates, the accuracy improvement of the DL method increased by 8–12 % in the E, N, and U directions compared with the ASF and MHM methods. The positioning accuracy and robustness of the DL method were better than those of the ASF and MHM methods. The proposed method provides technological support for real-time, high-precision deformation monitoring and seismic research. © 2025 COSPAR

关键词： Orbits

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Tile-size aware bitrate allocation for adaptive 360∘ video streaming

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Multimedia Tools and Applications 2025年第13期84卷 12615-12632页

作者： Huang, Jiawei Liu, Mingyue Liu, Jingling Gao, Feng Li, Weihe Wang, Jianxin School of Computer Science and Engineering Central South University Hunan Changsha410083 China School of Informatics The University of Edinburgh Edinburgh United Kingdom

360∘ videos have become increasingly popular recently, but consume much more bandwidth than non-360∘ videos. Usually, 360∘ video streaming partitions the video surface into multiple tiles and encodes the tiles independently to effectively and flexibly use limited link bandwidth. However, current bitrate adaptive algorithms generally aim to maximize the bitrate, rather than perceptual quality, resulting in degradation of user experience. More importantly, we reveal that the distribution of tile size is very skewed, that is, a small number of large tiles consumes more bandwidth than a large number of small tiles, further hurting the overall viewing quality. Therefore, in this paper, we propose a tile-size aware bitrate allocation scheme TSA for adaptive 360∘ video streaming to improve the viewing experience of users. Specifically, TSA cautiously decreases the quality of a few large tiles to allocate more bandwidth to large number of small tiles, thus improving the perceptual quality of overall video, without sacrificing large tiles excessively. Experiments over real-world datasets show that TSA effectively improves V-VMAF by up to 39% compared with several state-of-the-art adaptive bitrate algorithms. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Video streaming

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Digital-Twin-Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems

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IEEE Internet of Things Journal 2025年第9期12卷 13005-13020页

作者： Ye, Xiaowen Yu, Xianghao Fu, Liqun Xiamen University School of Informatics Department of Communication Engineering Xiamen361005 China City University of Hong Kong Department of Electrical Engineering Hong Kong

Intelligent omni-surface (IOS) is a promising technique to enhance the capacity of wireless networks, by reflecting and refracting the incident signal simultaneously. Traditional IOS configuration schemes, relying on all subchannels’ channel state information and user equipments’ mobility, are difficult to implement in complex realistic systems. Existing works attempt to address this issue employing deep reinforcement learning (DRL), but this method requires a lot of trial-and-error interactions with the external environment for efficient results and thus cannot satisfy the real-time decision making. To enable model-free and real-time IOS control, this article puts forth a new framework that integrates DRL and digital twins. As a first step, deep reinforcement learning IOS (DeepIOS), a DRL based IOS configuration scheme with the goal of maximizing the sum data rate, is developed to jointly optimize the phase-shift and amplitude of IOS in multiuser multiple-input-multiple-output (MU-MIMO) systems. Thereafter, in order to further reduce the computational complexity, DeepIOS introduces an action branch architecture, which decides two optimization variables in parallel in a separate fashion. Finally, a digital twin module is constructed through supervised learning as a preverification platform for DeepIOS, such that the decision making’s real-time can be guaranteed. The formulated framework is a closed-loop system, in which the physical space provides data to establish and calibrate the digital space, while the digital space generates a large number of experience samples for DeepIOS training and sends the trained parameters to the IOS controller for configurations. Numerical results show that compared with random and MAB schemes, the proposed framework attains a higher data rate and is more robust to different settings. Furthermore, the action branch architecture reduces DeepIOS’s computational complexity, and the digital twin module improves DeepIOS’s convergence speed

关键词： Deep reinforcement learning

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Optimization of Nusa Penida Electrical System: A Simulation Approach for Cost and Emission Reduction

Optimization of Nusa Penida Electrical System: A Simulation ...

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2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Santoso, Mikhael Vidi Banjar-Nahor, Kevin Marojahan Hariyanto, Nanang Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798331529833

Nusa Penida is one of Indonesia's outer islands, territorially part of Bali Province. The electrical system in this area is separate from Bali's electrical grid and is supplied by a 20 kV interconnection from a hybrid solar-wind-diesel power station, which connects Nusa Penida, Nusa Lembongan, and Nusa Ceningan islands. The average solar radiation is 5.34 kWh/m2/day with an average wind speed of 4.4 m/s. These conditions can be utilized to develop renewable energy generation in the region. This paper discusses the feasibility of the hybrid power plant established under the natural conditions and the equipment specifications used in the hybrid system in Nusa Penida, taking into account economic factors and the emissions produced. The expected outcome is to determine how the lowest LCOE can be achieved, as well as emission reduction factors, to create the most optimal electrical system structure. © 2025 IEEE.

关键词： Diesel power plants

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Enhancing Power Allocation in MIMO-OFDM Systems: Latest Approaches and Algorithms

Enhancing Power Allocation in MIMO-OFDM Systems: Latest Appr...

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International IoT, Electronics and Mechatronics Conference, IEMTRONICS 2024

作者： Agusnam, Hirwandi Zakia, Irma Hendrawan School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9789819747832

This systematic literature review critically assesses power allocation enhancement in Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing (MIMO-OFDM) systems, vital for improving wireless communication efficiency. By meticulously analyzing recent research, it aims to uncover and rigorously evaluate state-of-the-art methods and algorithms for optimizing power allocation in MIMO-OFDM systems. Through an exhaustive exploration, it provides essential insights, aids informed decision-making, and charts the course for future research in this domain. By addressing key research inquiries, including method comparisons, performance evaluations, challenges, and future directions, the review illuminates the path toward optimized power allocation strategies in MIMO-OFDM systems. This article serves as a comprehensive systematic review, offering valuable guidance to wireless communication researchers and practitioners while shaping the future of power allocation optimization in MIMO-OFDM systems. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Orthogonal frequency division multiplexing

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Critical Contingency Assessment of a 150/275 kV Interconnected Power System

Critical Contingency Assessment of a 150/275 kV Interconnect...

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2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Kurniawan, Fajar Khairuddin Marojahan Banjar Nahor, Kevin Hariyanto, Nanang Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798331529833

The 150/275 kV Southern Sumatra Interconnected System (in Bahasa: Sumbagsel) is crucial for providing reliable and sustainable electricity to the region. As network complexity and energy demand grow, challenges related to dynamic security intensify. This study assesses the system's ability to maintain stability during disturbances. Analyses using DIgSILENT PowerFactory software evaluated system responses to fault scenarios, particularly large generator losses, focusing on rotor angle, system frequency, and bus voltage after disturbances. Results show that the Sumbagsel interconnection has critical points prone to dynamic instability. While the system can remain stable within safe limits if disturbances don't exceed handling capacity, mitigation measures like improved coordination between generation and transmission networks are necessary. This study aims to enhance the power system's reliability in the region and prepare it for future operational challenges. © 2025 IEEE.

关键词： Transient stability

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