According to China's grid connection standard, the access of doubly-fed wind turbines of small and medium capacity causes the topology and operation mode of the distribution network, and the complexity and variabi...
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Power systems are critical infrastructures that require robust monitoring and control mechanisms to ensure reliability, stability, and efficiency. It utilizes the data from Phasor Measurement Units (PMUs) and other mo...
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ISBN:
(数字)9798331519568
ISBN:
(纸本)9798331519575
Power systems are critical infrastructures that require robust monitoring and control mechanisms to ensure reliability, stability, and efficiency. It utilizes the data from Phasor Measurement Units (PMUs) and other monitoring devices, which are sent over communication links. Hence, they are subjected to cyber attacks leading to missing or corrupted values. This can cause unreliable operation of the power system. To address the issue, this paper proposes a modified Time-Series Mixer model to accurately predict multivariate measurements under continuous unavailability of data. The proposed model utilizes the time-mixing and feature-mixing layers, which help to capture temporal and spatial correlation to predict the measurements. Further, it can be utilized in real-time applications in case of attack on any communication channel/PMU measurements, as the single model predicts all the PMU measurements. The performance of the proposed model is validated using data generated for the IEEE 14 bus system via RTDS. Numerical results validate the effectiveness of the proposed method, as the errors are significantly smaller than those obtained by the LSTM model-based consecutive PMU measurement prediction technique.
The article considers the possibility of using a previously developed mathematical model for calculating the dielectric constant of a cloudy atmosphere medium. For the accounting the influence of suspended hydrometeor...
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The paper focuses on monitoring the cardiovascular system using photoplethysmography imaging. This technique allows the detection of slow and fast changes in skin blood perfusion. Based on the knowledge of previous st...
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Because of the likelihood of data breaches and the potential hazards of patient information, healthcare institutions face significant challenges in implementing cloud-based Electronic Health Record (EHR) systems. Curr...
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In this work, we present PhysioFuseNet, a novel framework designed to enhance driver stress state classification. PhysioFuseNet integrates a CNN-based encoder-decoder model with multimodal biosignal fusion. Using a dr...
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Kserve, commonly referred to as KFServing, is an open-source serving framework for machine learning (ML) models that runs on Kubernetes. enables the deployment, servicing, and management of ML models in a production e...
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In this paper, a compact biconical antenna in the UHF band is presented. The antenna employs meta-surfaces coating and offset feed technologies to achieve omnidirectional torus coverage in the UHF band while meeting t...
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This study introduces a comprehensive suite of algorithms tailored for advancing Wire Arc Additive Manufacturing (WAAM) processes. The suite includes the Adaptive Deposition Control Algorithm (ADCA), Thermal Feedback ...
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Wearable devices have played a key role in the medical industry, especially since the COVID-19 pandemic spread. The need for a self-monitoring system increased since the spread of the virus. With the development of se...
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