Results 101 to 110 of about 7,383 (190)
Post-processing for event-based non-intrusive load monitoring [PDF]
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)
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
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
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
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]
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
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]
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
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
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

