Results 161 to 170 of about 215,326 (298)
A dataset of exogenous variables and historical electricity demand for short-term load forecasting of the national interconnected electric system (SENI) in the Dominican Republic from 2021 to 2024. [PDF]
Uceta-Acosta RO +5 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13. [PDF]
Miah MSU +5 more
europepmc +1 more source
Improved Neural Networks with Random Weights for Short-Term Load Forecasting. [PDF]
Lang K, Zhang M, Yuan Y.
europepmc +1 more source
Excellent combinations of strength and impact toughness are obtained in a bilayer composite of high‐strength carbide‐free bainitic (CFB) steel and high‐ductility twinning‐induced plasticity (TWIP) steel. The composite absorbs energy at small strains when the notch is placed on the TWIP side and at high strains when the notch is placed on the CFB side ...
Kendra Hawke +5 more
wiley +1 more source
Predictive models for short-term load forecasting in the UK's electrical grid. [PDF]
Sha'aban YA.
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data. [PDF]
Zhou S, Zhang Q, Xiao P, Xu B, Luo G.
europepmc +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
The work demonstrates that strategic wall‐thickness grading in diamond triply periodic minimal surface lattices enables precise tuning of deformation and failure behavior under compression. Different gradation patterns guide how and where the structure collapses, improving energy absorption or promoting controlled brittle failure.
Giovanni Rizza +3 more
wiley +1 more source

