Results 41 to 50 of about 10,981,728 (293)

Effective rheology of immiscible two-phase flow in porous media consisting of random mixtures of grains having two types of wetting properties

open access: yesFrontiers in Physics, 2023
We consider the effective rheology of immiscible two-phase flow in porous media consisting of random mixtures of two types of grains having different wetting properties using a dynamic pore network model under steady-state flow conditions. Two immiscible
Hursanay Fyhn   +2 more
doaj   +1 more source

A Linear Programming Model for Power Flow Control Problem Considering Controllable and Fluctuating Power Devices [PDF]

open access: yes, 2019
The integration of renewable energy sources into grid, and ever growing power demand have increased the risks of stability and quality of power of the grid.
Javaid, Saher   +5 more
core   +1 more source

An online updated linear power flow model based on regression learning

open access: yesIET Generation, Transmission & Distribution
The linear power flow (LPF) model is widely used in the optimization, operation, and control of distribution networks. These applications require the LPF model to be accurate, fast, and simple in order to simplify calculations as well as to efficiently ...
Molin An, Tianguang Lu, Xueshan Han
doaj   +1 more source

A Stochastic Model Predictive Control Method for Tie-Line Power Smoothing under Uncertainty

open access: yesEnergies
With the high proportion of distributed energy resource (DER) access in the distributed network, the tie-line power should be controlled and smoothed to minimize power flow fluctuations due to the uncertainty of DER.
Molin An, Xueshan Han, Tianguang Lu
doaj   +1 more source

Line Loss Interval Algorithm for Distribution Network with DG Based on Linear Optimization under Abnormal or Missing Measurement Data

open access: yesEnergies, 2022
Data collection is more difficult in distribution network than transmission networks since the structure of distribution networks is more complex. As a result, data could be partly abnormal or missing, which cannot completely describe the operation ...
Chen Liang   +5 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

Data-driven Power Flow Linearization: Simulation

open access: yesCoRR
26 ...
Mengshuo Jia   +5 more
openaire   +2 more sources

A novel linearized power flow approach for transmission and distribution networks

open access: yesJournal of Computational and Applied Mathematics, 2021
Abstract Power flow computations are important for operation and planning of the electricity grid, but are computationally expensive because of nonlinearities and the size of the system of equations. Linearized methods reduce computational time but often have the disadvantage that they are not applicable to general grids.
Baljinnyam Sereeter   +3 more
openaire   +4 more sources

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk   +10 more
wiley   +1 more source

Data-driven Power Flow Linearization: Theory

open access: yesCoRR
This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a domain gaining increased attention. DPFL stands out for its higher approximation accuracy, wide adaptability, and better ability to implicitly incorporate the latest system attributes.
Mengshuo Jia   +5 more
openaire   +4 more sources

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