Results 121 to 130 of about 1,004,979 (300)

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

Deep learning anomaly detection in AI-powered intelligent power distribution systems

Frontiers in Energy Research
Introduction: Intelligent power distribution systems are vital in the modern power industry, tasked with managing power distribution efficiently. These systems, however, encounter challenges in anomaly detection, hampered by the complexity of data and ...
Jing Duan
doaj   +1 more source

Breaking the Surface: Buoyant Metal–Polymer Open–Cell Hybrid Lattice Metamaterials

Advanced Materials, EarlyView.
Open‐cell metal–polymer lattice metamaterials that defy sinking. (a) Injection process of the polyurethane (PU) foam into the titanium (Ti‐6Al‐4V) hollow‐strut lattice creating the open‐cell Ti‐6Al‐4V+PU hybrid lattice, (b) flotation test of a hybrid lattice specimen, and (c) a digital representation and experimental validation of a marine buoy ...
Jordan Noronha, Joey Tallon, Raad Omar, Jason Dash, Andrey Molotnikov, Martin Leary, Milan Brandt, Ma Qian   +7 more
wiley   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

Harnessing Artificial Intelligence-Chat GPT (Generative Pretrained Transformer) to engage youths and women in climate-smart, sustainable livestock farming

Harnessing Artificial Intelligence-Chat GPT (Generative Pretrained Transformer) to engage youths and women in climate-smart, sustainable livestock ...
Ekule, Muluken
core   +2 more sources

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Directional Confinement Governed Ion Transport for Efficient Actuation

Advanced Materials, EarlyView.
Structural anisotropy provides an effective means to regulate ion transport in polymer electrolytes. Directionally aligned channels formed by freeze‐drying provide continuous pathways for ion migration, enhancing ion mobility and simultaneously improving the strain and blocking force of ionic actuators.
Yufei Zhang, Qiuchun Lu, Adit Gupta, Sen Wang, Xueyang Wang, Jian Yu, Xuanyi Hu, Daniel Mandler, Pooi See Lee   +8 more
wiley   +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

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

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