Results 151 to 160 of about 8,161 (262)
Predictive models for short-term load forecasting in the UK's electrical grid. [PDF]
PLoS OneSha'aban YA.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data. [PDF]
Sci RepZhou S, Zhang Q, Xiao P, Xu B, Luo G.
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.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
Deep learning-driven hybrid model for short-term load forecasting and smart grid information management. [PDF]
Sci RepWen X, Liao J, Niu Q, Shen N, Bao Y.
europepmc +1 more source
Power system short-term load forecasting [PDF]
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017), 2017 openaire +1 more source
Advanced Engineering Materials, EarlyView.Stabilization of L‐PBF Ni50.7Ti49.3 under low‐cycle loading was investigated. Recoverable strain after cycling was dependent on the amount of applied load. Recovery ratio was 53.4% and 35.1% at intermediate and high load, respectively. The maximum total strain reached 10.3% at a high load of 1200 MPa.
Ondřej Červinek +5 more
wiley +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
Advanced Engineering Materials, EarlyView.A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The presented study focuses on the fracture behaviour of carbon‐bonded magnesia MgO–C refractories, where environmentally friendly fructose, collagen and lignin serve as temporary binding agents. The partial substitution of the source material with recycled MgO–C reduces the fracture resistance, which can be counteracted by the additional introduction ...
Marc Neumann +6 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Micro‐Raman spectroscopy is applied to characterize corrosion products in a recycled‐based MgO–316L steel composite anode after molten salt electrolysis. A depth‐dependent Fe–O/Fe–Al–O layer sequence of magnetite, hercynite, and an Al‐doped magnetite transition zone is identified.
Felix Drechsler +9 more
wiley +1 more source