Energy Science &Engineering, EarlyView.This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak +2 more
wiley +1 more source
Optimization of unit commitment considering multiple stochastic factors and interruptible load under chance constraints. [PDF]
Sci RepDing B, Zhao M, Qin X, Chen S.
europepmc +1 more source
International Journal for Numerical Methods in Fluids, EarlyView.This paper presents a finite element method for simulating highly viscoelastic flows of pure polymer melts using the Elastic Viscous Stress Splitting formulation. The method avoids higher‐order derivatives in the weak formulation by reformulating the convective term in the constitutive equation.
R. Ahmad, P. Zajac, S. Turek
wiley +1 more source
Optimal control of multiple myeloma assuming drug resistance and off-target effects. [PDF]
PLoS Comput BiolLefevre JG +4 more
europepmc +1 more source
International Journal for Numerical Methods in Fluids, EarlyView.This study presents an efficient method to compute polymer stress‐tensor components in viscoelastic laminar jet flows using models such as Oldroyd‐B, Giesekus, PTT, and FENE. By assuming a stationary and parallel flow, the methodology significantly reduces computational cost.
Rafael de Lima Sterza +3 more
wiley +1 more source
Real time dynamic adhesion coefficient estimation and BP neural network optimized lateral stability control for distributed drive electric vehicles. [PDF]
Sci RepZhou Z, Yang R, Xu F, Shen W.
europepmc +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
Journal of Forecasting, EarlyView.ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Enhancing vehicle-mountable multiple object tracking systems with embeddable Ising machines. [PDF]
Nat CommunTatsumura K +4 more
europepmc +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Operating strategy for load service entities using flexible real-time pricing through stochastic dual dynamic programming. [PDF]
Sci RepChoi W, Im J, Lee J, Chung JH, Lee D.
europepmc +1 more source