Results 121 to 130 of about 1,041,762 (300)

Measurement analysis of three phase intelligent electricity meter based on nonlinear load

Measurement: Sensors
In order to improve the accuracy of non-linear load measurement in three-phase smart meters, the author proposes a measurement analysis of three-phase smart meters based on non-linear loads.
Yuanrui Hong
doaj   +1 more source

Turning Nd‐Fe‐B Swarf Into High‐Value Bulk Feedstocks via Sustainable Hydrogen Plasma: From Rare‐Earth Oxides to Metals and Hydrides

Advanced Materials, EarlyView.
Oxidized Nd‐Fe‐B magnet swarf is transformed into valuable bulk feedstock through a single‐step hydrogen plasma process. The reaction converts complex rare‐earth‐containing waste into separated metallic, oxide, and hydride fractions without acid leaching.
Naritai Chimed, Oliver Diehl, Ömer K. Büyükuslu, J. Manoj Prabhakar, Dennis Klapproth, Patricia Jovičević‐Klug, Jürgen Gassmann, Dierk Raabe, Tim M. Schwarz, Matic Jovičević‐Klug   +9 more
wiley   +1 more source

Modular Power Converters for Smart Transformer Architectures [PDF]

, 2019
The large integration of renewable energy sources and intermittent loads (e.g. electric vehicles) into the utility grid has imposed new challenges to the electric distribution network with respect to the voltage regulation, power quality and reliability.
Ferreira Costa, Levy
core   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Design and Development of Transformer Diagnostic System Application to Predict Purification Time and Transformer Life Based on Machine Learning

Transformers are equipment in high voltage engineering that often experience abnormalities originating from internal or external sources. This abnormality causes disturbances, so it is necessary to diagnose faults on the transformer as early as possible ...
Putra, Andre Yuanda
core  

An advanced hybrid deep learning model for accurate energy load prediction in smart building

Energy Exploration & Exploitation
In smart cities, sustainable development depends on energy load prediction since it directs utilities in effectively planning, distributing and generating energy.
R Sunder, Sreeraj R, Vince Paul, Sanjeev Kumar Punia, Bhagavan Konduri, Khan Vajid Nabilal, Umesh Kumar Lilhore, Tarun Kumar Lohani, Ehab Ghith, Mehdi Tlija   +9 more
doaj   +1 more source

Monolithically 3D‐Printed Spectral‐Spatial Meta‐Authenticators

Advanced Materials, EarlyView.
A single height map printed in a low‐index resin by two‐photon lithography encodes multiple visible wavelengths in one metasurface without any polarization optics. A fabrication‐aware optimization folds the printable height levels into the design, so the device is printed as optimized.
Cherry Park, Shiqi Hu, Youngsun Jeon, Junsuk Rho   +3 more
wiley   +1 more source

A hybrid ANFIS-transformer framework tuned by enhanced HawkFish optimization for voltage and load balancing in smart grids

Frontiers in Energy Research
This paper presents a novel hybrid framework that integrates an Adaptive Neuro-Fuzzy Inference System (ANFIS) with a Transformer model, optimized through an Enhanced HawkFish Optimization Algorithm (EHFOA), to enhance voltage regulation and load ...
Omer Muneam Mushref Aldulaimi, Sefer Kurnaz, Hameed Mutlag Farhan   +2 more
doaj   +1 more source

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

Advanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick, Ariel Lifer, Catherine Beaumont, Liad Hayoun, Priscila Cavassin, Zeinab Hamid, Dilara Meli, William Dupont, Lincoln J. Lauhon, Iain McCulloch, Gitti L. Frey, Giovanni Maria Matrone, Jonathan Rivnay   +12 more
wiley   +1 more source

Cloud‐Edge Collaborative Framework‐Based Fault Diagnosis Method for Power Metering Smart Laboratory Equipment Using Improved Transformer

The Journal of Engineering
With the continuous advancement of power system intelligence, the need for efficient fault diagnosis of equipment in power metering smart laboratories has become increasingly pressing.
Ying Zhang, Wenjing Wang, Zilin Chen, Yuxin Lin   +3 more
doaj   +1 more source