Results 101 to 110 of about 169,081 (289)

Deep Reinforcement Learning for the Detection of Abnormal Data in Smart Meters. [PDF]

Sensors (Basel), 2022
Sun S, Liu C, Zhu Y, He H, Xiao S, Wen J.   +5 more
europepmc   +1 more source

Metamaterial Antennas Enhance MRI of the Eye and Occipital Brain

Advanced Materials, EarlyView.
A radiofrequency antenna platform comprising planar and bend configurations is developed, incorporating structurally integrated epsilon‐negative metamaterial unit cells to enhance MRI. These antennas enable high‐resolution in vivo human MRI of the eye, orbit, and occipital brain. Comprehensive validation, including simulations, phantom experiments, SAR,
Nandita Saha, Bilguun Nurzed, Mostafa Berangi, Andre Kuehne, Helmar Waiczies, Igor Fabian Tellez Ceja, Xiang Hu, Thomas Gladytz, Lisa Krenz, Dave Huebler, Beate Endemann, Claudia Brockmann, Ebba Beller, Oliver Stachs, Thoralf Niendorf   +14 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

Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart meters. [PDF]

Comput Urban Sci, 2023
Dai TY, Radhakrishnan P, Nweye K, Estrada R, Niyogi D, Nagy Z.   +5 more
europepmc   +1 more source

Freeform Manufacturing of Plant‐Based Structural Colors for Scalable Photonic and Mechanochromic Devices

Advanced Materials, EarlyView.
A green, freeform manufacturing approach that utilizes robust aqueous two‐phase systems to create intricate and scalable photonic structures and non‐planar mechanochromic hydrogel actuators from plant‐based hydroxypropyl cellulose. This approach broadens the structural possibilities of sustainable photonic devices and mechanochromic systems, offering ...
Xiao Song, Peiqi Niu, Wenxi Gu, Chun Lam Clement Chan, Jiuhong Yi, Xu Liu, Peng Tan, Chon In Haydn Cheong, Qingwen Guan, Dan Fang, Bingpu Zhou, Zi Liang Wu, Ji Liu, Yan Yan Shery Huang, Iek Man Lei   +14 more
wiley   +1 more source

Mitigating anomalous electricity consumption in smart cities using an AI‐based stacked‐generalization technique

IET Renewable Power Generation
Energy management and efficient asset utilization play an important role in the economic development of a country. The electricity produced at the power station faces two types of losses from the generation point to the end user.
Arshid Ali, Laiq Khan, Nadeem Javaid, Safdar Hussain Bouk, Abdulaziz Aldegheishem, Nabil Alrajeh   +5 more
doaj   +1 more source

Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble. [PDF]

Sensors (Basel), 2021
de Mattos Neto PSG, de Oliveira JFL, Bassetto P, Siqueira HV, Barbosa L, Alves EP, Marinho MHN, Rissi GF, Li F.   +8 more
europepmc   +1 more source

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

Advanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source

Smart Prepared Meter

, 2023
{"references": ["1.\tSauhats, A., Varfolomejeva, R., Lmkevics, O., Petrecenko, R., Kunickis, M., & Balodis, M. (2015, May). Analysis and prediction of electricity consumption using smart meter data. In 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG) (pp. 17-22).
openaire   +1 more source

Large‐Area 2D Metasurface‐Based Triboelectric E‐Skin Arrays: Contact & Proximity Tactile Mapping with Broadband Acoustic Readouts

Advanced Materials, EarlyView.
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief, Swagato Sarkar, Anik Kumar Ghosh, Osvalds Verners, Kamal Kumar Meena, Su‐Hyeong Lee, Soosang Chae, Tobias A. F. König, Beate Krause, Andreas Fery, Mehmet Sait Özer, Anindya Nag, Amit Das   +12 more
wiley   +1 more source