Results 151 to 160 of about 564,115 (361)
A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei +2 more
wiley +1 more source
Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence
Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek +3 more
wiley +1 more source
Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley +1 more source
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime +3 more
wiley +1 more source
ABSTRACT This paper examines how Corporate Venture Capital (CVC), Independent Venture Capital (IVC) and Venture Capital Syndicate (VCS) promote innovation among startups. Drawing on a dataset of 4406 venture‐backed deals in North America, spanning 1998–2019, it explores how the configurations of investors and their contextual factors influence ...
Fatima Shuwaikh +3 more
wiley +1 more source
Uncertain Short‐Run Restrictions and Statistically Identified Structural Vector Autoregressions
ABSTRACT This study proposes a combination of a statistical identification approach with potentially invalid short‐run zero restrictions. The estimator shrinks towards imposed restrictions and stops shrinkage when the data provide evidence against a restriction.
Sascha A. Keweloh, Shu Wang
wiley +1 more source
Joint Estimation and Bandwidth Selection in Partially Parametric Models
ABSTRACT We propose a single‐step approach to estimating a model with both a known nonlinear parametric component and an unknown nonparametric component. We study the large sample behavior of a simultaneous optimization routine that estimates both the parameter vector of the parametric component and the bandwidth vector used to smooth the unknown ...
Daniel J. Henderson +2 more
wiley +1 more source
A New Error in Variables Model for Solving Positive Definite Linear System Using Orthogonal Matrix Decompositions [PDF]
Negin Bagherpour, Nezam Mahdavi‐Amiri
openalex +2 more sources

