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Designing a Peer-to-Peer Energy Trading Market to Improve Prosumer Participation in a Community: A Numerical Case Study

Designing a Peer-to-Peer Energy Trading Market to Improve Pr...

引用

Annual North-American Power Symposium

作者： La'Darius M. Thomas Valerie M. Thomas Daniel K. Molzahn School of Electrical and Computer Engineering Georgia Institute of Technology School of Industrial and Systems Engineering Georgia Institute of Technology

ISBN: (数字)9798331521035

ISBN: (纸本)9798331521042

Peer-to-peer (P2P) energy trading has emerged as a transformative approach to electrical power distribution, empowering individuals and communities to directly exchange energy resources within local networks. Challenges arise in modeling the behavior of prosumers (market participants who can both buy and sell electricity). Understanding how prosumers interact in the market is crucial for determining prices and the feasibility of energy transactions. Their decisions to buy or sell energy depend on various factors, which influence market dynamics and the overall success of P2P energy trading. This paper proposes a trilevel framework for buyers who determine their purchase quantities and the fraction of power to purchase from each seller. Sellers determine the prices that maximize profit based on the buyer's demand. A numerical case study involving five prosumers - two sellers and three buyers - is presented and results in an equilibrium state for prosumer transactions in this P2P energy trading market. The trilevel approach successfully balances supply and demand in the P2P energy market where the sellers maximize revenue by adjusting prices and buyers meeting their energy demands.

关键词： Energy consumption Supply and demand Energy resources Electricity Peer-to-peer computing North America

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Model Predictive Control for Autonomous Driving: Comparing Kinematic and Dynamic Models of Tractor-Trailer systems 27

Model Predictive Control for Autonomous Driving: Comparing K...

引用

27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Vallinder, Gustav Martensson, Jonas Lima, Pedro F. Bhat, Sriharsha Scania Cv Ab SödertäljeSE-15132 Sweden School of Electrical Engineering and Computer Science Kth Royal Institute of Technology Division of Decision and Control Systems StockholmSE-10044 Sweden

ISBN: (纸本)9798331505929

Investigations of kinematic and dynamic models of tractor-trailer systems have historically been performed for stability analysis or state estimation. In this work, we present and evaluate kinematic and dynamic tractor-trailer models for model predictive control (MPC). We show in open-loop simulations that a kinematic and a dynamic model are equivalent at low speeds and short discretization time steps. A zero speed singularity and stiff dynamics prevents the usage of the dynamic model in control design, where discretization time steps are longer. A method of discretization is proposed to resolve the low speed feasibility of the dynamic model. In closed-loop simulations, the real-time applicability of the kinematic and dynamic models in a nonlinear MPC is verified. © 2024 IEEE.

关键词： Predictive control systems

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Heart Disease Identification Based on Butterfly Optimization and Machine Learning

Heart Disease Identification Based on Butterfly Optimization...

引用

2023 International Conference on Smart Computing and Application, ICSCA 2023

作者： Asrar, Manal Bawazir, Joud Khan, Sibghatullah I. Qaisar, Saeed Mian Effat University Computer Science Department Jeddah22332 Saudi Arabia Department of Electronics and Communication Engineering Hyderabad India Effat University Electrical and Computer Engineering Department Jeddah22332 Saudi Arabia Cesi Engineering School Lineact Laboratory Villeurbanne69100 France

ISBN: (纸本)9798350347050

This paper aims to make use of The Physionet Challenge 2016 collection of normal and abnormal heart sound recordings that were classified by automated identification of PCG sounds to help detect heart diseases earlier and prevent incidents. People with heart diseases have been increasing and most of them lead to fatalities so the detection of sound signals through PCGs can be applied in machine learning models by extracting features from data. In this study, the dataset's recordings are segmented to be used in variational mode decomposition. Once they are decomposed, those means will be fused together into a set of features given to the Butterfly Optimization Algorithm which will conduct a selection of features. As the features are selected, MATLAB was used to test various machine learning algorithms. Results from Support Vector Machines (SVM) and artificial neural networks were used in this investigation (ANN). The ANN model, which had an accuracy rate of 94.8%, was the most accurate of them. © 2023 IEEE.

关键词： Variational mode decomposition

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Generating robotic elliptical excisions with human-like tool-tissue interactions

Generating robotic elliptical excisions with human-like tool...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Artūras Straižys Michael Burke Subramanian Ramamoorthy School of Informatics University of Edinburgh Department of Electrical and Computer Systems Engineering Monash University

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In surgery, the application of appropriate force levels is critical for the success and safety of a given procedure. While many studies are focused on measuring in situ forces, little attention has been devoted to relating these observed forces to surgical techniques. Answering questions like "Can certain changes to a surgical technique result in lower forces and increased safety margins?" could lead to improved surgical practice, and importantly, patient outcomes. However, such studies would require a large number of trials and professional surgeons, which is generally impractical to arrange. Instead, we show how robots can learn several variations of a surgical technique from a smaller number of surgical demonstrations and interpolate learnt behaviour via a parameterised skill model. This enables a large number of trials to be performed by a robotic system and the analysis of surgical techniques and their downstream effects on tissue. Here, we introduce a parameterised model of the elliptical excision skill and apply a Bayesian optimisation scheme to optimise the excision behaviour with respect to expert ratings, as well as individual characteristics of excision forces. Results show that the proposed framework can successfully align the generated robot behaviour with subjects across varying levels of proficiency in terms of excision forces.

关键词： Force measurement Force Surgery Safety Bayes methods Robots Optimization

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A Novel Anti-rounding Image Steganography Method for Improved UNet++ 7th

A Novel Anti-rounding Image Steganography Method for Improv...

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7th Chinese Conference on Pattern Recognition and computer Vision, PRCV 2024

作者： Duan, Xintao Zhang, Meng Bai, Luwei Xu, Kaiou Bao, Mengru Wu, Yinhang Qin, Chuan College of Computer and Information Engineering Henan Normal University Henan Xinxiang453007 China Key Laboratory Foundation of Artificial Intelligence and Personalized Learning in Education of Henan Province Henan Normal University Henan Xinxiang453007 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (纸本)9789819786916

Deep hiding involves embedding a secret image within a cover image so that the secret becomes imperceptible to ensure the security of steganography. However, in practical applications, accuracy loss is due to data conversion during encoding and decoding. The encoder generates the tensor matrix during training, while the practical application corresponds to the image preservation extraction process;the error caused by the rounding operation in this process will affect the accuracy of the secret information extraction during decoding. Aiming at the currently existing methods ignoring the rounding error problem, this paper proposes a novel anti-rounding image steganography method for improved UNet++. We design an anti-rounding function (ARF) to simulate the real steganographic environment, training the model to overcome the non-differentiable rounding distortion problem. When rounding error is considered, the accuracy of the extracted image decreases. To ensure the image quality in real application scenarios, in this paper, we use the improved UNet++ to ensure the quality of steganographic images by cascading convolution and ECA attention mechanisms and propose the Multiscale Mixing Module (MSMM) for feature fusion. In the extraction stage, the corresponding cover image is selected through a shared cover image library, followed by processing the stego image to obtain a different image before feeding it to the extraction network to guarantee the steganography process’s safety. The experiment results indicate the method’s capability to enhance the imperceptibility of steganography significantly, and the steganography process has better security. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Decoding

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Non-Invasive Monitoring System of Vital Signs using IR-UWB Radar: A Short Review and Feasibility Study 17

Non-Invasive Monitoring System of Vital Signs using IR-UWB R...

引用

17th International Conference on Telecommunication systems, Services, and Applications, TSSA 2023

作者： Raheel, Muhammad Salman Tubbal, Faisel Coyte, James Iranmanesh, Saeid Ogunbon, Philip Odeh, Nidhal Raad, Raad Theoharis, Panagiotis Ioannis University of Wollongong School of Electrical Computer and Telecommunications Engineering Wollongong Australia The University of Sydney Electronics & Development Engineer at Jericho Smart Sensing Laboratory Sydney Australia

ISBN: (纸本)9798350309164

Monitoring vital signs regularly helps the early recognition of abnormal physiological parameters in deteriorating patients. Impulse radio ultra-wideband (IR-UWB) technology is a suitable non-invasive approach to monitor the vital signs such as heart and breathing rates. In this technique, the IR-UWB radar antenna propagates signal towards the patient and the reflected spectrum can determine the status of the vital signs. This function is ideal where patient touching should be avoided such as a potentially infected COVID-19 patients. This paper designs an algorithm to identify the chest displacement and to separate the heart and breathing signals. In addition, we propose an adaptive filter and a smoothing filter used in the function to reduce the measurement noise from the surrounding vibrations. We have implemented the device and validated the performance over different sets of real experiments. The results show that the proposed technology can effectively estimate the breathing and heart rates with up to 98% accuracy as compared to the values obtained using an electrocardiograph (ECG). © 2023 IEEE.

关键词： COVID-19

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Preliminary Results on the Surge Current Withstand Capability of Natural Ester Oil

Preliminary Results on the Surge Current Withstand Capabilit...

引用

2023 IEEE Industry Applications Society Annual Meeting, IAS 2023

作者： Tsovilis, Thomas E. Hadjicostas, Alexandros Y. Staikos, Evangelos T. Tsekouras, Konstantinos Datsios, Zacharias G. Peppas, George D. School of Electrical & Computer Engineering Aristotle University of Thessaloniki High Voltage Laboratory Thessaloniki54124 Greece Raycap Sa Research & Development Department Drama Greece

ISBN: (纸本)9798350320169

Natural ester oils are an environmentally friendly substitute for mineral oils that are commonly used as dielectric insulating liquid and coolant in power transformers. In this study, the real relative permittivity and DC breakdown voltage of a natural ester oil are experimentally examined. An accelerated degradation test employing 15 current impulses is employed to investigate the change of the basic electrical characteristics of the oil under study with the aid of a 1 MV/ 7 kJ Marx generator. Experimental results on the surge current withstand capability of the natural ester oil are presented and discussed. © 2023 IEEE.

关键词： Esters

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Distributed Power Allocation for 6-GHz Unlicensed Spectrum Sharing via Multi-agent Deep Reinforcement Learning

Distributed Power Allocation for 6-GHz Unlicensed Spectrum S...

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2023 IEEE International Conference on Industrial Technology, ICIT 2023

作者： Zhang, Xiang Bhuyan, Arupjyoti Kasera, Sneha Kumar Ji, Mingyue University of Utah Department of Electrical and Computer Engineering United States Idaho National Laboratory United States Kahlert School of Computing University of Utah United States

ISBN: (纸本)9798350336504

We consider the problem of spectrum sharing by multiple cellular operators. We propose a novel deep Reinforcement Learning (DRL)-based distributed power allocation scheme which utilizes the multi-agent Deep Deterministic Policy Gradient (MA-DDPG) algorithm. In particular, we model the base stations (BSs) that belong to the multiple operators sharing the same band, as DRL agents that simultaneously determine the transmit powers to their scheduled user equipment (UE) in a synchronized manner. The power decision of each BS is based on its own observation of the radio environment (RF) environment, which consists of interference measurements reported from the UEs it serves, and a limited amount of information obtained from other BSs. One advantage of the proposed scheme is that it addresses the single-agent non-stationarity problem of RL in the multi-agent scenario by incorporating the actions and observations of other BSs into each BS's own critic which helps it to gain a more accurate perception of the overall RF environment. A centralized-training-distributed-execution framework is used to train the policies where the critics are trained over the joint actions and observations of all BSs while the actor of each BS only takes the local observation as input in order to produce the transmit power. Simulation with the 6 GHz Unlicensed National Information Infrastructure (U-NII)-5 band shows that the proposed power allocation scheme can achieve better throughput performance than several state-of-the-art approaches. © 2023 IEEE.

关键词： Reinforcement learning

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Study on Landslide Susceptibility Evaluation Based on Improved Multivariable Weighted Model: A Case Study of Lushan County, China 3

Study on Landslide Susceptibility Evaluation Based on Improv...

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3rd IEEE International Conference on Software engineering and Artificial Intelligence, SEAI 2023

作者： Zhao, Li Duan, Gonghao Wuhan Institute of Technology School of Computer Science and Engineering Wuhan China Automation for Complex Systems Hubei Key Laboratory of Advanced Control and Intelligent Wuhan China

ISBN: (纸本)9798350337952

The evaluation of regional geological hazard susceptibility is of great significance to the prevention and control of geological hazard. In this paper, the "4-20"Lushan earthquake disaster area as the research area, combined with GIS and characteristics of the research area, through correlation analysis, selected 9 influencing factors as the evaluation factors. The study was conducted using a weighted information volume-logistic regression model (WI-LR). The results were classified into five sensitivity levels: very low, low, medium, high and very high. The results show that the landslide prone areas in Lushan County are concentrated in the area below the middle of the county seat, mostly near rivers, faults and areas with peak acceleration greater than 0.4. Among them, WI-LR model (AUC=0.918) > deterministic factor model (CF =0.908) > weighted information quantity model (WI) (AUC=0.896) > information quantity model I (AUC=0.853) > information quantity logistic regression model I-LR (AUC=0.799). It indicates that WI-LR model has high evaluation accuracy. © 2023 IEEE.

关键词： Hazards

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On the Optimal Delay Growth Rate of Multi-Hop Line Networks: Asymptotically Delay-Optimal Designs and the Corresponding Error Exponents

On the Optimal Delay Growth Rate of Multi-Hop Line Networks:...

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作者： Ogbe, Dennis O. Wang, Chih-Chun Love, David J. NASA Jet Propulsion Laboratory PasadenaCA91109 United States Purdue University School of Electrical and Computer Engineering West LafayetteIN47907 United States

Multi-hop line networks have emerged as an important abstract model for modern and increasingly dense communication networks. In addition, the growth of real-time and mission-critical services has created high demand for and increased research interest in low-latency communications. The combination of these facts motivates a new investigation of data transmission schemes for L-hop line networks from a delay-vs-throughput perspective. To this end, this work defines a metric called the delay amplification factor for a target throughput R, denoted by AF R, which characterizes the growth rate of the (asymptotic) delay with respect to the number of hops. We show that all existing relay schemes, e.g., Decode-&-Forward (DF), have limRC DAF(R)=Ω (L), which is consistent with the decades-old perception that delay grows linearly with respect to L. We then design a scheme satisfying limRC DAF R=1, if the bottleneck hop is the last hop, i.e., its asymptotic delay does not grow with respect to L. The results imply that this linearly growing delay is an artifact of the existing DF designs, and it is possible to surpass it and attain the true fundamental limit with a new delay-centric solution. In the second half of this work, we further show that if variable-length coding and one-bit stop-feedback are allowed, we can relax the condition bottleneck being the last hop and attain limRC DAF (R)=1 for any arbitrary line networks. © 1963-2012 IEEE.

关键词： Reliability analysis

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