Journal ArticleDOI
Noncontact Power Meter
John Donnal,Steven B. Leeb +1 more
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TLDR
In this paper, the authors present hardware and signal processing algorithms that enable high bandwidth measurements of voltage, current, harmonics, and power on an aggregate electrical service (such as a residential powerline) for nonintrusive analysis with hardware that requires no special skill or safety considerations for installation.Abstract:
Energy metering is increasingly important in today's power grid. With real-time power meters, utilities can efficiently incorporate renewables and consumers can tailor their demand accordingly. Several high-profile attempts at delivering realtime energy analytics to users, including Google Power Meter and Microsoft Hohm, have essentially failed because of a lack of sufficient richness and access to data at adequate bandwidth for reasonable cost. High performance meters can provide adequate data, but require custom installation at prohibitive expense, e.g., requiring an electrician for installation. This paper presents hardware and signal processing algorithms that enable high bandwidth measurements of voltage, current, harmonics, and power on an aggregate electrical service (such as a residential powerline) for nonintrusive analysis with hardware that requires no special skill or safety considerations for installation.read more
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Journal ArticleDOI
Magnetoresistive Sensor Development Roadmap (Non-Recording Applications)
Chao Zheng,Ke Zhu,Susana Cardoso de Freitas,Jen-Yuan Chang,Joseph E. Davies,Peter Eames,Paulo P. Freitas,Olga Kazakova,CheolGi Kim,Chi Wah Leung,Sy Hwang Liou,A. V. Ognev,S. N. Piramanayagam,Pavel Ripka,Alexander S. Samardak,Kwang-Ho Shin,Shi-Yuan Tong,Mean-Jue Tung,Shan X. Wang,Songsheng Xue,Xiaolu Yin,Philip W. T. Pong +21 more
TL;DR: A framework for MR sensor technology (non-recording applications) to be used for public and private R&D planning, in order to provide guidance into likely MR sensor applications, products, and services expected in the next 15 years and beyond.
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Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
TL;DR: In this paper , a study on data-driven probabilistic machine learning (ML) techniques and their real-time applications to smart energy systems and networks was conducted to highlight the urgency of this area of research.
Journal ArticleDOI
NILM Dashboard: A Power System Monitor for Electromechanical Equipment Diagnostics
Andre Aboulian,Daisy H. Green,Jennifer F. Switzer,Thomas J. Kane,Gregory V. Bredariol,Peter Lindahl,John Donnal,Steven B. Leeb +7 more
TL;DR: NILM dashboard, a machine intelligence, and graphical platform that uses NILM data for real-time electromechanical system diagnostics and provides analysis tools for energy scorekeeping, detecting fault conditions, and determining operating state is introduced.
Journal ArticleDOI
Overview of Spintronic Sensors With Internet of Things for Smart Living
TL;DR: Successful applications of individual spintronic sensors in electrical current sensing, transmission and distribution lines monitoring, vehicle detection, and biodetection that can help to fulfill the promises of smart living in energy management, power delivery, transport, and healthcare are reviewed.
Journal ArticleDOI
Non-Contact Measurement of Line Voltage
TL;DR: This paper presents a capacitively coupled non-contact voltage sensor, which is specifically optimized for monitoring line voltages ranging from plug level to distribution levels at thousands of volts.
References
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Journal ArticleDOI
Tunneling between ferromagnetic films
TL;DR: In this article, the mean magnetizations of the two ferromagnetic film are parrallel or antiparallel and conductance measurement is related to the spin polarizations of conduction electrons.
Journal ArticleDOI
Giant tunnelling magnetoresistance at room temperature with MgO (100) tunnel barriers
Stuart S. P. Parkin,Christian Kaiser,Alex Panchula,Philip M. Rice,Brian M. Hughes,Mahesh G. Samant,See-Hun Yang +6 more
TL;DR: Sputter-deposited polycrystalline MTJs grown on an amorphous underlayer, but with highly oriented MgO tunnel barriers and CoFe electrodes, exhibit TMR values of up to ∼220% at room temperature and ∼300% at low temperatures, which will accelerate the development of new families of spintronic devices.
Journal ArticleDOI
Tunnel magnetoresistance of 604% at 300K by suppression of Ta diffusion in CoFeB∕MgO∕CoFeB pseudo-spin-valves annealed at high temperature
Shoji Ikeda,Jun Hayakawa,Yoshito Ashizawa,Y. M. Lee,Katsuya Miura,Katsuya Miura,H. Hasegawa,Masakiyo Tsunoda,F. Matsukura,Hideo Ohno +9 more
TL;DR: In this article, the authors observed tunnel magnetoresistance (TMR) ratio of 604% at 300K in Ta∕Co20Fe60B20∕MgO∕SiO2 or Co20Fe 60B20 ∕Ta pseudo-spin-valve magnetic tunnel junction junction annealed at 525°C.
Journal ArticleDOI
A New Measurement Method for Power Signatures of Nonintrusive Demand Monitoring and Load Identification
TL;DR: In this article, a nonintrusive load monitoring (NILM) technique based on the analysis of load signatures is presented, where artificial neural networks, in combination with turn-on transient energy analysis, are used to improve recognition accuracy and computational speed of NILM results.
Proceedings ArticleDOI
A new measurement method for power signatures of non-intrusive demand monitoring and load identification
TL;DR: Artificial neural networks, in combination with turn-on transient energy analysis, are used to improve recognition accuracy and computational speed of NILM results.