Results 161 to 170 of about 136,820 (296)
A VVWBO-BVO-based GM (1,1) and its parameter optimization by GRA-IGSA integration algorithm for annual power load forecasting. [PDF]
Li L, Wang H.
europepmc +1 more source
Process‐Informed Analysis of As‐Built Metal Additive Surface Features
This article introduces a novel method for feature‐based surface texture characterisation directly incorporating manufacturing variables into the feature extraction workflow. This marks a major step towards identifying process‐specific surface properties and their influence on part function and hence a holistic understanding of process–structure ...
Theresa Buchenau +5 more
wiley +1 more source
A Multi-Strategy Enhanced Whale Optimization Algorithm for Long Short-Term Memory-Application to Short-Term Power Load Forecasting for Microgrid Buildings. [PDF]
Qu L, Teng Q, Mai H, Chen J.
europepmc +1 more source
Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market. [PDF]
Bozkurt ÖÖ, Biricik G, Tayşi ZC.
europepmc +1 more source
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
A hybrid power load forecasting model using BiStacking and TCN-GRU. [PDF]
Ma J, Peng J, Han H, Song L, Liu H.
europepmc +1 more source
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
This article demonstrates the successful qualification of a copper–tungsten composite for laser powder bed fusion. The resulting components exhibited high density, high thermal conductivity, and reduced thermal expansion. Heat sinks with complex geometries were successfully manufactured, clearly showcasing the material's potential for additive ...
Simon Rauh +6 more
wiley +1 more source
Short-term power load forecasting in China: A Bi-SATCN neural network model based on VMD-SE. [PDF]
Huang Y, Feng Q, Han F.
europepmc +1 more source

