Two-layer energy scheduling of electrical and thermal smart grids with energy hubs including renewable and storage units considering energy markets. [PDF]
Aich W +9 more
europepmc +1 more source
A resonant frequency engineering strategy is proposed to modulate the sensibility of piezoresistive textile‐based tactile sensor. It achieves simultaneous detection of static pressure and dynamic vibrations across an unprecedented bandwidth of 5–600 Hz, surpassing human sensation, therefore enables rapid and precise braille recognition.
Xianhong Zheng +17 more
wiley +1 more source
A lightweight deep learning framework for transformer fault diagnosis in smart grids using multiple scale CNN features. [PDF]
Attallah O, Ibrahim RA, Zakzouk NE.
europepmc +1 more source
An Ir‐based reversible copper electrodeposition variable‐emissivity device achieved over 8000 cycles with just 11% radiative temperature variation decay. This stability stems from Ir's inherent inertness, high conductivity, and strength, which collectively suppress cracking and corrosion.
Runyun He +11 more
wiley +1 more source
Lightweight Hash-Based Authentication Protocol for Smart Grids. [PDF]
Kook S, Kim K, Ryu J, Lee Y, Won D.
europepmc +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
Enhancing energy distribution through dynamic multi-hop for heterogeneous WSNs dedicated to IoT-enabled smart grids. [PDF]
Elmonser M +4 more
europepmc +1 more source
Rapid Design and Fabrication of Body Conformable Surfaces with Kirigami Cutting and Machine Learning
By integrating the principles of kirigami cutting and data‐driven modeling, this study aims to develop a personalized, rapid, and low‐cost design and fabrication pipeline for creating body‐conformable surfaces around the knee joint. This pipeline presents a balanced trade‐off between conformability performance and cost for personalizing wearables, thus
Jyotshna Bali +3 more
wiley +1 more source
Data-driven and privacy-preserving risk assessment method based on federated learning for smart grids. [PDF]
Deng S, Zhang L, Yue D.
europepmc +1 more source

