Results 101 to 110 of about 7,383 (190)

Post-processing for event-based non-intrusive load monitoring [PDF]

open access: yes, 2018
Most current non-intrusive load monitoring (NILM) algorithms disaggregate one appliance at a time, remove the appliance contribution towards the total load, and then move on to the next appliance.
He, Kanghang   +3 more
core  

Cloud-based Non-intrusive Load Monitoring System (NILM)

open access: yesInternational Journal of Engineering and Advanced Technology, 2019
Design and development of a cloud-based non-intrusive load monitoring System (NILM) is presented. It serves for monitoring and disaggregating the aggregated data such as smart metering into appliance-level load information by using cloud computing and machine learning algorithms implemented in cloud.
Keh-Kim Kee   +3 more
openaire   +1 more source

Basic parameters of hemostasis in patients with refractory postpartum hemorrhage

open access: yesФундаментальная и клиническая медицина
Aim. To study the types of vaginal microbial communities in women with high-grade squamous intraepithelial lesion (HSIL) and those negative for intraepithelial lesion or malignancy (NILM). Materials and Methods.
D. A. Artymuk   +7 more
doaj   +1 more source

Steady State Modification Method Based On Backpropagation Neural Network For Non-Intrusive Load Monitoring (NILM)

open access: yesMATEC Web of Conferences, 2018
Household electric power sector is highlighted as one of significant contributors to national energy consumption. To reduce electric energy usage in this sector, a technique called Non-Intrusive Load Monitoring (NILM) has been developed recently. NILM is
Tri Atmaja Sigit, Halim Abdul
doaj   +1 more source

On performance evaluation and machine learning approaches in non-intrusive load monitoring

open access: yesEnergy Informatics, 2018
Non-Intrusive Load Monitoring (NILM) is a set of techniques to gain deep insights into workflows inside buildings based on data provided by smart meters.
Christoph Klemenjak
doaj   +1 more source

Scalability of Non-intrusive Load Monitoring for Shipboard Applications [PDF]

open access: yes, 2009
The non-intrusive load monitor has been demonstrated as an effective tool for evaluating and monitoring shipboard electro-mechanical systems through analysis of electrical power data. A key advantage of the non-intrusive approach is the ability to reduce
Coe, Steven G.   +8 more
core  

Self-Adaptive Deep Learning Framework for Non-Intrusive Load Monitoring: Addressing Aging Appliance Challenges With Transfer Learning and Pseudo Labeling

open access: yesIEEE Access
Efficient energy management practices are recognized as crucial for optimizing energy utilization. Non-intrusive load monitoring (NILM) has been identified as a promising solution, particularly with the use of deep learning techniques.
W. A. Yasodya   +5 more
doaj   +1 more source

Finance and diversification [PDF]

open access: yes
We study how financial market efficiency affects a measure of diversification of output across industrial sectors borrowed from the portfolio allocation literature.
Manganelli, Simone, Popov, Alexander
core  

Generation of meaningful synthetic sensor data — Evaluated with a reliable transferability methodology

open access: yesEnergy and AI
As households are equipped with smart meters, supervised Machine Learning (ML) models and especially Non-Intrusive Load Monitoring (NILM) disaggregation algorithms are becoming increasingly important.
Michael Meiser   +2 more
doaj   +1 more source

Homotopy pro-nilpotent structured ring spectra and topological Quillen localization

open access: yes, 2019
The aim of this short paper is to show that the homotopy limit of any diagram of nilpotent structured ring spectra is TQ-local, where structured ring spectra are described as algebras over a spectral operad O; in particular, every homotopy pro-nilpotent ...
Zhang, Yu
core  

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