Effective and scalable smart residential energy monitoring systems

A Langevin - 2022 - espace.etsmtl.ca
The growing interest for active end-user contribution in reducing the carbon footprint brings
several new challenges that traditional solutions are insufficient to handle. In this collective …

Advanced data-analytics for power system security enhancement

Z Chen - 2024 - dr.ntu.edu.sg
Security in power systems is of utmost importance to ensure the reliable and safe operation
of electricity infrastructure. With the increasing integration of digital technologies and the …

and Mohamed Ali Kaafar² 1 Australian Institute of Health Innovation, Macquarie University

NU Sheikh¹, Z Lu, HJ Asghar - … , ICETE 2021, Virtual Event, July 6 …, 2023 - books.google.com
Energy consumption data is collected the service providers and shared with various
stakeholders involved in a smart grid ecosystem. The fine-grained energy consumption data …

Appliance Identification in NILM Applications by means of a Convolutional Auto-Encoder

L de Diego-Otón, Á Hernández… - … on Metrology for …, 2023 - ieeexplore.ieee.org
In energy efficiency applications, Non-Intrusive Load Monitoring techniques (NILM) are
typically used to deduce which electrical loads are being used in a building at a given time …

NILM Algorithms General Comparison and Test of Adaptability

A Pasquet - 2020 - upcommons.upc.edu
NILM field is a hot spot in university and companies research due to the great advantages it
provides and its importance to reduce energy consumption within the households …

Επεξεργασία χρονοσειρών ρεύματος και τάσης από δημόσια διαθέσιμες βάσεις δεδομένων με σκοπό την δημιουργία καινοτόμων χαρακτηριστικών για μοντέλα …

Κ Στεργίου - 2023 - dspace.uowm.gr
Η αυξανόμενη ζήτηση ενέργειας λόγω πληθυσμιακής αύξησης, τεχνολογικής προόδου και
μεταβαλλόμενων συνηθειών καταναλωτών οδηγεί σε αυξημένη επιβάρυνση του δικτύου …

Synthetic Generation of Electrical Consumption Traces in Smart Homes

C Garcia-Rubio, C Campo, M Moure-Garrido - … Conference on Ubiquitous …, 2022 - Springer
With the introduction of the smart grid, smart meters and smart plugs, it is possible to know
the energy consumption of a smart home, either per appliance or aggregate. Some recent …

Smart Monitoring-технология дистанционного мониторинга потребления электроэнергии, воды, тепловой энергии и газа в Smart City

ВН Логинов, ИА Бычковский, ГС Сурнов… - Труды Московского …, 2020 - cyberleninka.ru
Представлена технология дистанционного сбора детализированных данных (Smart
Monitoring) о потреблении и качестве энергоресурсов в коммунальной сфере. Под …

Non-Intrusive Load Monitoring using Machine and Deep Learning Techniques

MK Akbar - 2023 - spectrum.library.concordia.ca
Non-intrusive Load Monitoring (NILM) is a computational technique that extracts individual
appliance consumption and operation state change information from the aggregate power …

Thresholding methods in non-intrusive load monitoring

Non-intrusive load monitoring (NILM) is the problem of predicting the status or consumption
of individual domestic appliances only from the knowledge of the aggregated power load …