Results 111 to 120 of about 1,440 (216)

Direction‐Aware Period Prediction for Seismic Risk Assessment and Application to an Urban Tall Building Portfolio in China

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Reliable estimation of the principal periods is essential for regional seismic risk assessment (RSRA) of urban building portfolios. For tall buildings, however, existing period‐prediction formulas are constrained by the lack of representative data, while building translational azimuths are neglected despite their importance for regional ...
Zi‐Nan Wu, Ahmed Y. Elghazouli, Mengjie Xiang   +2 more
wiley   +1 more source

Identifying Affective Patterns in Patients With Eating Disorders: A Latent Profile Analysis

European Eating Disorders Review, EarlyView.
ABSTRACT Background Emotional difficulties are common among individuals with Eating Disorders (EDs). Following Panksepp's theoretical model, which conceptualises primary emotional systems as the evolutionary foundation of personality, this study aimed to identify distinct profiles of primary emotional systems within a clinical eating disorder (ED ...
Rachele Fasolato, Chiara Bonetto, Rosa Bruna Dall’Agnola, Emily Boifava, Federica Bonora, Mariasole Castellazzi, Silvia Castelli, Doriana Cristofalo, Silvia Danese, Monica Ferlin, Stuart B. Murray, Martina Puglisi, Silvia Rigon, Antonio Elia Rizzo, Benedetta Signoretto, Corrado Barbui   +15 more
wiley   +1 more source

Ambiguity‐Aware Receding‐Horizon Optimization of Wind‐Hybrid Energy Storage Systems Using Type‐3 Fuzzy Modeling for Multimarket Participation

Energy Science &Engineering, EarlyView.
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan, Manwen Tian, Didar Yedilkhan, Nurkhat Zhakiyev, Aigul Adamova, Ardashir Mohammadzadeh   +5 more
wiley   +1 more source

Robust Coordinated Reserve Optimization Method for Electricity–Gas Systems Considering Multi‐Source Coupling and Multiple Uncertainties

Energy Science &Engineering, EarlyView.
This study proposes a two‐stage robust reserve optimization method for coupled electricity–gas systems to mitigate wind–solar fluctuations and transmission‐line contingencies. By coordinating cross‐network reserves and linearizing complex gas flow equations, the approach significantly enhances system security and economic efficiency under multiple ...
Jianbo Nie, Youbing Zhang, Zhou Lan, Hao Xu, Yongqi Liu, Guofeng Wang   +5 more
wiley   +1 more source

Context‐aware machine learning for lameness side and severity prediction in trotting horses: A proof‐of‐concept study

Equine Veterinary Journal, EarlyView.
Abstract Background In clinical practice, lameness evaluation often relies on visual assessment under different examination conditions, including ground and figures, and remains subjective. Although objective symmetry indices provide quantitative measures of gait asymmetry, their interpretation across multiple conditions remains challenging because ...
Mahaut Gérard, Sandrine Hanne‐Poujade, Guillaume Dubois, Camille Hébert, Virginie Coudry, Sandrine Jacquet, Lélia Bertoni, Amélie Tallaj, Neila Mezghani, Henry Chateau   +9 more
wiley   +1 more source

Verification of an Incompressible Viscoelastic Flow Solver Using the Method of Manufactured Solutions for Oldroyd‐B and Giesekus Constitutive Models

International Journal for Numerical Methods in Fluids, EarlyView.
This study utilizes the Method of Manufactured Solutions (MMS) to validate high‐order compact finite‐difference schemes for 2D incompressible viscoelastic flows. By applying Oldroyd‐B and Giesekus models to a lid‐driven cavity benchmark, the researchers rigorously assessed numerical accuracy across varying Reynolds and Weissenberg numbers.
Juniormar Organista, Leandro F. Souza, Célio Fernandes, Welton L. Costa, Aquisson T. G. da Silva, Antonio Castelo   +5 more
wiley   +1 more source

Aggregating distributed energy resources for grid flexibility services: A distributed game theoretic approach

International Journal of Robust and Nonlinear Control, EarlyView., 2023
Abstract We propose a hierarchical energy management scheme for aggregating Distributed Energy Resources (DERs) for grid flexibility services. To prevent a direct participation of numerous prosumers in the wholesale electricity market, aggregators, as self‐interest agents in our scheme, incentivize prosumers to provide flexibility. We firstly model the
Xiupeng Chen, Mehran Shakarami, Jacquelien M. A. Scherpen, Nima Monshizadeh   +3 more
wiley   +1 more source

Temporal Robustness in Cross‐Country Gross Domestic Product Forecasting: Evidence From Classical, Regime‐Switching, and Ensemble Models

Journal of Forecasting, EarlyView.
ABSTRACT This study evaluates whether the relative performance of gross domestic product forecasting models is temporally robust across economies and changing macroeconomic conditions. Using annual real gross domestic product data from the World Bank for 177 separately reported economies and territories, we conduct a common‐vintage pseudo‐out‐of‐sample
Achilleas Tampouris, Chaido Dritsaki
wiley   +1 more source

Loss‐Aware Forecast Construction for Realized Variance

Journal of Forecasting, EarlyView.
ABSTRACT Forecasts of realized variance are commonly constructed from models of log‐realized variance and then transformed back to the original scale. However, the resulting forecasts are often evaluated using loss functions defined in relative rather than absolute terms, creating a potential mismatch between forecast construction and forecast ...
Nick Taylor
wiley   +1 more source

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source