Continuous glucose monitors currently on the market are expensive and uncomfortable due to their short operational lifespans of 14 days or less limited by biofouling. To address this problem, we propose a biosensor ar...
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In this research, we investigate the impact of implantable cuff electrodes on the vagus nerve stimulation threshold due to the gradient fields during MR scans. We employ electromagnetic simulations in conjunction with...
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With the growth of online shopping, organizations should update their portals and websites in response to changing conditions and competitors' actions. To attract and retain online customers, various tools such as...
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We demonstrate integrated feedback control of a C-band microring quantum-correlated photon-pair source fabricated in a monolithic electronics-photonics platform that maintains lock in the presence of nearby on-die the...
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With the increasing demand for security in the day-To-day lives of people, especially when in public spaces, surveillance system helps to monitor human behavior, prevent illegal activities and detect anomalous events....
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The maximum likelihood (ML) phase error detector (PED) for 16-APSK is derived and analyzed. The ML PED is used as part of a phase lock loop (PLL) to perform carrier phase synchronization and, to a limited extent, freq...
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This Study proposes a stochastic optimization strategy for medium-voltage direct current (MVDC) systems to regulate power flows within distribution networks (DNs) in coordination with a battery energy storage system (...
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ISBN:
(数字)9798331521165
ISBN:
(纸本)9798331521172
This Study proposes a stochastic optimization strategy for medium-voltage direct current (MVDC) systems to regulate power flows within distribution networks (DNs) in coordination with a battery energy storage system (BESS). The research addresses uncertainties arising from prediction errors in photovoltaic (PV) generation and load demand by applying a distributionally robust chance-constrained optimization method. To cooperatively optimize the operation of MVDC systems and BESS in DNs, the reliability constraints on bus voltage are stochastically relaxed, thereby maximizing the cost-effectiveness of DNs. Numerical simulations indicate that by reducing the conservativeness of the reliability constraints, the distribution system operator can achieve greater economic efficiency in electricity imports.
In recent years, machine learning (ML) based digital twins (DTs) have seen widespread application in the anomaly detection domain. A search-based literature survey revealed that the majority of the case studies focus ...
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A country's critical infrastructures are heavily related to the quality of life and safety of the people. As a result, the security protection aspect of critical infrastructure has gained more and more attention n...
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This Study proposes a stochastic optimization strategy for medium-voltage direct current (MVDC) systems to regulate power flows within distribution networks (DNs) in coordination with a battery energy storage system (...
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