Cold Load Pickup Model Adequacy for Power System Restoration Studies
When a grid section is re-energized after an interruption, the load behaviour can be significantly different from normal operation. In this manuscript, the impact of the phenomenon—known as cold load pickup—is investigated by evaluating 31 time series ...
Christian Hachmann +2 more
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Personalized Virus Load Curves for Acute Viral Infections
We introduce an explicit function that describes virus-load curves on a patient-specific level. This function is based on simple and intuitive model parameters.
Carlos Contreras +2 more
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Exponential to ZIP and ZIP to exponential load model conversion: Methods and error
This paper presents several methods for performing two types of static load model conversion: exponential to ZIP & ZIP to exponential model conversion.
Madis Leinakse, Jako Kilter
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Modelling the Innate Immune Response against Avian Influenza Virus in Chicken. [PDF]
At present there is limited understanding of the host immune response to (low pathogenic) avian influenza virus infections in poultry. Here we develop a mathematical model for the innate immune response to avian influenza virus in chicken lung ...
T J Hagenaars +8 more
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Prediction of foundation bearing capacity based on grey Markov model
Foundation is the foundation of engineering construction, and its bearing capacity calculation and prediction are very critical indetermining the safety and stability of the superstructure of the building project.
Feiyu Chen +3 more
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Dynein-Inspired Multilane Exclusion Process with Open Boundary Conditions
Motivated by the sidewise motions of dynein motors shown in experiments, we use a variant of the exclusion process to model the multistep dynamics of dyneins on a cylinder with open ends.
Riya Nandi, Uwe C. Täuber, Priyanka
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Regression Model-Based Short-Term Load Forecasting for Load Despatch Centre
Forecasting load is an integral part of the planning, operation, and control of power systems. This paper is part of a research effort aimed at developing better energy demand forecasting models for load dispatch centers (LDCs) in Indian states as part ...
Saikat Gochhait, Deepak Sharma
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Short-Term Load Forecasting Based on Multi-branch Residual Gated Convolution Neural Network
Short-term load forecasting is one of the important tasks for power utilities to formulate grid planning and scheduling plans. Considering the temporal characteristics of the load data, in order to improve the prediction accuracy of power load, a short ...
Jiangchuan FAN +4 more
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Nonlinear Modeling of Contact Stress Distribution in Thin Plate Substrates Subjected to Aspect Ratio
The foundation substrate’s basal contact stresses are typically thought to have a linear distribution, although the actual form is nonlinear. Basal contact stress in thin plates is experimentally measured using a thin film pressure distribution system ...
Chao Lv, Huixin Wei, Zhiwen Lan, Ping Wu
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Microgrid small‐signal stability analysis considering dynamic load model
Microgrids suitable operation depends on the system's proper design, based on accurate component models. A complete model considering entire system dynamics is a vital necessity for a successful design.
Aram Mahdavian +2 more
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