Results 31 to 40 of about 269,737 (269)
A Statistical Approach for Distribution System State Estimation
Power system state estimation is a useful technique that enables the system to be monitored when sufficient measurements are not available. Although it has been practiced for a long time, distribution system state estimation (DSSE) is still challenging ...
Ibrahim Gursu Tekdemir
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A Hybrid State Estimator Based on SCADA and PMU Measurements for Medium Voltage Distribution System
With the increasing importance of renewable energy and flexible loads, the operation of the distribution system is becoming more stochastic and complex, and it is necessary to monitor the power system in real-time. Considering the gradual applications of
Xiangyu Kong +6 more
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Koopman Kalman Particle Filter for Dynamic State Estimation of Distribution System
Dynamic state estimation (DSE) plays an important role in the real-time control and monitoring of distribution systems, which are high-dimensional space–time systems. The degree of nonlinearity of distribution system increases drastically with the
Kai Wang +4 more
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A novel iterative observer approach for real‐time harmonic estimation in power distribution networks
In power distribution networks, the realisation of online harmonic state estimation puts forward a higher demand on the algorithm accuracy, stability as well as simplicity.
Yuge Wang +3 more
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Adaptive Linear State Estimation for Unbalanced Distribution System
The inclusion of PMU functionality in distribution relays enables the implementation of a linear state estimator (LSE) in Distribution Systems (DS). However, the unbalanced topology and phase coupling in distribution lines necessitate modifications to ...
Yijie Zhou, Virgilio Centeno
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ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Application of Deep Neural Networks to Distribution System State Estimation and Forecasting
Classical neural networks such as feedforward multi-layer perceptron models (MLPs) are well established as universal approximators and as such, show promise in applications such as static state estimation in power transmission systems. The dynamic nature
James P. Carmichael, Yuan Liao
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ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
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ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman +17 more
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ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
wiley +1 more source

