Smart electricity meter data intelligence for future energy systems: A survey
D Alahakoon, X Yu - IEEE transactions on industrial informatics, 2015 - ieeexplore.ieee.org
Smart meters have been deployed in many countries across the world since early 2000s.
The smart meter as a key element for the smart grid is expected to provide economic, social …
The smart meter as a key element for the smart grid is expected to provide economic, social …
Toward non-intrusive load monitoring via multi-label classification
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …
will help utilities make more efficient use of their generation assets by reducing consumers' …
A survey on intrusive load monitoring for appliance recognition
Electricity load monitoring of appliances has become an important task considering the
recent economic and ecological trends. In this game, machine learning has an important …
recent economic and ecological trends. In this game, machine learning has an important …
Nonintrusive appliance load monitoring: An overview, laboratory test results and research directions
Nonintrusive appliance load monitoring (NIALM) allows disaggregation of total electricity
consumption into particular appliances in domestic or industrial environments. NIALM …
consumption into particular appliances in domestic or industrial environments. NIALM …
An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm
Energy profligacy and appliance degradation are the apex reasons accounting for the
continuous rise in power wastage and high energy bills. The decline in energy conservation …
continuous rise in power wastage and high energy bills. The decline in energy conservation …
Experimental determination of ZIP coefficients for residential appliances and ZIP model based appliance identification: The case of YTU Smart Home
This study presents the experimental determination of the ZIP (constant impedance (Z),
constant current (I), constant power (P)) coefficients for residential appliances in a smart …
constant current (I), constant power (P)) coefficients for residential appliances in a smart …
Identification of electrical appliances using their virtual description and data selection for non-intrusive load monitoring
J Bartman, T Kwater - IEEE Transactions on Consumer …, 2021 - ieeexplore.ieee.org
The proper pattern of electric energy management on the part of consumers is a key element
of the system enabling its effective use. This pattern can be developed by providing …
of the system enabling its effective use. This pattern can be developed by providing …
Data analytics criteria of IoT enabled smart energy meters (SEMs) in smart cities
Purpose This paper aims to focus on data analytic tools and integrated data analyzing
approaches used on smart energy meters (SEMs). Furthermore, while observing the diverse …
approaches used on smart energy meters (SEMs). Furthermore, while observing the diverse …
Hidden Markov Models for ILM appliance identification
A Ridi, J Hennebert - Procedia Computer Science, 2014 - Elsevier
The automatic recognition of appliances through the monitoring of their electricity
consumption finds many applications in smart buildings. In this paper we discuss the use of …
consumption finds many applications in smart buildings. In this paper we discuss the use of …
Appliance and state recognition using Hidden Markov Models
We asset about the analysis of electrical appliance consumption signatures for the
identification task. We apply Hidden Markov Models to appliance signatures for the …
identification task. We apply Hidden Markov Models to appliance signatures for the …