Results 211 to 220 of about 93,852 (297)

Numerical Simulation and Analysis of Heat Transfer Characteristics in Gradient‐Porosity Foam Copper Composite Phase Change Materials

Energy Science &Engineering, EarlyView.
This study investigates the heat transfer characteristics of copper‐foam composite phase change materials with different gradient porosities. Three models with uniform porosity and three models with gradient porosities are developed to examine their effects on temperature distribution and melting behavior. ABSTRACT Phase change materials (PCMs) exhibit
Wei Yang, Chenchen Bao, Guofeng Zhou, Yuxi Qiao, Ruiling Yu, Manfeng Li, Linlin Zhang   +6 more
wiley   +1 more source

Multiple imputation of multilevel data with single-level models: A fully conditional specification approach using adjusted group means. [PDF]

Behav Res Methods
Grund S, Lüdtke O, Robitzsch A.
europepmc   +1 more source

Modeling and Experimental Study of a Dual‐Receiver Parabolic Solar Concentrator for Direct Electricity Generation and Thermal Storage for Isolated Sites

Energy Science &Engineering, EarlyView.
Approximately 64% of the population in sub‐Saharan Africa lacks access to electricity, despite the region's high solar potential, making concentrated solar power a promising solution for decentralized and sustainable energy supply. This study presents the design, construction, and testing of a parabolic solar concentrator with two focal‐point receivers
Sani Dan Nomao Harouna, Nabil Alkassoum, Noma Talibi Soumaila, Ali Aboubacar, Hamza Abarchi Halarou, Boubou Bagre, Makinta Boukar   +6 more
wiley   +1 more source

RAISE-FER: a massive cross-dataset augmented facial expression dataset. [PDF]

Front Robot AI
Palestra G, Palmisano D, De Carolis BN.
europepmc   +1 more source

Mechanism and Control Analysis of Synchronous Frequency Resonance in Distributed Power Generation System Connected to Grid

Energy Science &Engineering, EarlyView.
Small‐signal modeling reveals that insufficient system damping positions conjugate poles near the imaginary axis, fundamentally explaining the SFR mechanism. A virtual resistance control is consequently proposed to damp the resonance and effectively suppress SFR, which is validated through Hardware‐in‐the‐Loop experiments.
Yujie Gu, Jianbo Yi, Haoran Rui, Qi Huang   +3 more
wiley   +1 more source

An MILP approach for optimal operation of unbalanced distribution networks through coordinated network reconfiguration and SOP utilization. [PDF]

Sci Rep
Ayazi AM, Shakarami MR, Doostizadeh M, Namdari F, Nikzad MR.   +4 more
europepmc   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Network reconfiguration and DG based compensation of Wolaita Sodo distribution system by using particle swarm optimisation. [PDF]

PLoS One
Alemayehu B, Mishra S, Tejani GG, Tripathi S.   +3 more
europepmc   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

Energy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk, Habib Benbouhenni, Adil Yahdou, Zakaria Mohamed Salem Elbarary, Nicu Bizon   +4 more
wiley   +1 more source

Resolving sampling and population-size biases in domestication genomics supports a South Asian origin of walnuts. [PDF]

Genome Biol
Chen CJ, Pang XX, Ding YM, Zhang WP, Yang Y, Liu J, Nersesyan A, Zhang BW, Renner SS, Zhang DY, Bai WN.   +10 more
europepmc   +1 more source