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Measuring the energy intensity of domestic activities from smart meter data

L. Stankovic, V. Stankovic, J. Liao, C. Wilson
2016 Applied Energy  
, load disaggregation or non-intrusive appliance load monitoring (NILM).  ...  Thus, besides strictly technical algorithmic approaches for processing quantitative smart meter data, we also draw on social science time use approaches and interview and ethnography data.  ...  In contrast to intrusive approaches for energy disaggregation requiring monitoring devices or interventions in the home, nonintrusive approaches use algorithms to infer load profiles from smart meter data  ... 
doi:10.1016/j.apenergy.2016.09.087 fatcat:yy3fcqwarjdwrcu4paotpewhke

EnergyScout: A Consumer Oriented Dashboard for Smart Meter Data Analytics [article]

Nafees Ahmed, Klaus Mueller
2019 arXiv   pre-print
In this paper we explore an interface that seeks to balance the tradeoff between complexity and usability.  ...  visual tools with which consumers can understand the energy consumption of their household devices, discover the impact of their usage patterns, compare them with usage patterns of the past, and see via  ...  And while it is difficult for smart meters to perform NIALM given the relatively long time intervals of the measurements, they can theoretically enable Nonintrusive Load Monitoring (NILM) -determining  ... 
arXiv:1911.09284v1 fatcat:oozi6css7neyxb4o6wtzxx6tmm

Is disaggregation the holy grail of energy efficiency? The case of electricity

K. Carrie Armel, Abhay Gupta, Gireesh Shrimali, Adrian Albert
2013 Energy Policy  
We review disaggregation algorithms and their requirements, and evaluate the extent to which smart meters can meet those requirements.  ...  Disaggregation refers to a set of statistical approaches for extracting end-use and/ or appliance level data from an aggregate, or whole-building, energy signal.  ...  Zico Kolter provided valuable assistance on the algorithmic discussion. The following contributed valuable information and insights: Chris Villarreal  ... 
doi:10.1016/j.enpol.2012.08.062 fatcat:nrploiu4ajf4veq3hjqznicq44

Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey

Yee Wei Law, Tansu Alpcan, Vincent C.S. Lee, Anthony Lo, Slaven Marusic, Marimuthu Palaniswami
2012 2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems  
Research challenges and opportunities are identified and linked to ambient intelligence, wireless sensor networks, nonintrusive load monitoring, virtual power plants, etc.  ...  While loads have traditionally been a passive part of a grid, with rapid advances in ICT, demand-side technologies now play an increasingly important role in the energy efficiency of power grids.  ...  HAN Home area network ISO Independent system operator NILM Nonintrusive load monitoring VPP Virtual power plant II.  ... 
doi:10.1109/kicss.2012.45 dblp:conf/kicss/LawALLMP12 fatcat:of5oqpterffifhevvrvrvkxybi

Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles

Robert Brown, Navid Ghavami, Hafeez-Ur-Rehman Siddiqui, Mounir Adjrad, Mohammad Ghavami, Sandra Dudley
2017 Energy and Buildings  
software, via time synchronization.  ...  Human behaviour and occupancy accounts for a substantial proportion of variation in the energy efficiency profile of domestic buildings.  ...  Egarter [22] describes a real time unsupervised load disaggregation algorithm which uses only real power values, sampled at 1Hz.  ... 
doi:10.1016/j.enbuild.2017.02.004 fatcat:bl4d5icusff75ocwt3yyfhcf6y

A Parallel Evolutionary Computing-Embodied Artificial Neural Network Applied to Non-Intrusive Load Monitoring for Demand-Side Management in a Smart Home: Towards Deep Learning

Yu-Hsiu Lin
2020 Sensors  
to load disaggregation in a Home Energy Management System (HEMS) deployed in a real residential field.  ...  , with no need to intrusively deploy smart power meters (power plugs) installed for individual monitored electrical appliances in a practical field of interest.  ...  Conclusions NILM, which is a more cost-effective load monitoring approach than traditional intrusive load monitoring approaches and a part of HEMS for DSM, is capable of disaggregating aggregated electric  ... 
doi:10.3390/s20061649 pmid:32188065 fatcat:onqwjrmk7rhddbvln5lwrtjfdi

A Qualitative Study on the United States Internet of Energy: A Step towards Computational Sustainability

Nazmus Sakib, Eklas Hossain, Sheikh Iqbal Ahamed
2020 IEEE Access  
The burgeoning growth of Big Data not only matures and improves the data management efficiency and useful information extraction techniques, but also motivates the computational science researchers to  ...  and burgeoning challenges; Variable Renewable Energy, its reliability challenges and how we can take advantage of this variability; Commodity Prices and its criticality; Energy Disaggregation and its  ...  NILM (Non-Intrusive Load Monitoring) or NIALM (Non-Intrusive Appliance Load Monitoring) is an analytic approach employed to disaggregate the building loads primarily based on a single metering point.  ... 
doi:10.1109/access.2020.2986317 fatcat:vjvk7oxfbvdi3je55ity7ghifu

FEEdBACk: An ICT-Based Platform to Increase Energy Efficiency through Buildings' Consumer Engagement

Filipe Soares, André Madureira, Andreu Pagès, António Barbosa, António Coelho, Fernando Cassola, Fernando Ribeiro, João Viana, José Andrade, Marina Dorokhova, Nélson Morais, Nicolas Wyrsch (+1 others)
2021 Energies  
buffered and consumed, with several advantages, such as reducing peak load, maximizing local renewable energy consumption, and delivering more efficient use of the resources available in individual buildings  ...  This system also interacts with an automation manager and a users' behavior predictor application.  ...  The application allows us to avoid physical monitoring of individual appliances' power consumption employing nonintrusive load monitoring (NILM) [33] .  ... 
doi:10.3390/en14061524 fatcat:4wdbbiiq6ze6hcdwsi5yizxxgi

Disaggregation of domestic smart meter energy data

Daniel Kelly, William Knottenbelt, Andrew Davison, Engineering And Physical Sciences Research Council
2017
Many countries are rolling out smart electricity meters. A smart meter measures the aggregate energy consumption of an entire building.  ...  disaggregation algorithms.  ...  NILM Non-Intrusive Load Monitoring (118) NIALM Non-Intrusive Appliance Load Monitoring (20) NALM Nonintrusive Appliance Load Monitoring (4) (this is the acronym used by George Hart in his seminal review  ... 
doi:10.25560/49452 fatcat:dyu5oijj3jgdhal6wr2je6vaui

Perpetual Sensing for the Built Environment

Bradford Campbell, Meghan Clark, Samuel DeBruin, Branden Ghena, Neal Jackson, Ye-Sheng Kuo, Prabal Dutta
2016 IEEE pervasive computing  
An energy harvesting sensor system architecture emerges through multiple generations of sensor development and deployment for smart building applications. e n e r g y h a r V e S t i n g  ...  However, to benchmark buildings and verify the intended effects of the improvements, many critical building parameters, including electricity, gas, and water usage, must be sensed and analyzed both before  ...  This is often enough to identify the major and minor loads, along with their contributions to the total electricity usage, with much higher fidelity than nonintrusive load monitoring. 7 With no need  ... 
doi:10.1109/mprv.2016.66 fatcat:nr3jgieh25a2jooyy44gz535my

An efficient and inexpensive method for activity recognition within a smart home based on load signatures of appliances

Corinne Belley, Sebastien Gaboury, Bruno Bouchard, Abdenour Bouzouane
2014 Pervasive and Mobile Computing  
With the increasing demand in terms of non-intrusive appliance load monitoring (NIALM), more and more smart meters and smart analyzers were released on the market to extract well-defined load signatures  ...  Thus, this paper proposes a new algorithmic method for an application field that is still very lightly exploited, i.e. the activity recognition of reduced-autonomy residents living in a smart habitat through  ...  algorithm, and dynamic programming [15] - [18] , to disaggregate the total load on a snapshot that can occur at any time.  ... 
doi:10.1016/j.pmcj.2013.02.002 fatcat:ec32ui3iifhdfgohdvxdpbfz74

2021 Index IEEE Transactions on Power Systems Vol. 36

2021 IEEE Transactions on Power Systems  
., +, TPWRS July 2021 2829-2840 Disaggregating Customer-Level Behind-the-Meter PV Generation Using Smart Meter Data and Solar Exemplars.  ...  Wang, J., +, TPWRS Sept. 2021 4683-4698 Disaggregating Customer-Level Behind-the-Meter PV Generation Using Smart Meter Data and Solar Exemplars.  ... 
doi:10.1109/tpwrs.2021.3125235 fatcat:n3ecyy2flnapzjz7clyrp7sx4a

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
., Guest Editorial:Special Section on End-Edge-Cloud Orchestrated Algorithms, Systems and Applications; TII July 2020 4788-4790 Jiang, J., see Jia, G., 1993-2002 Jiang, J., see Liu, L., 2072-2080 Jiang  ...  594 Jiang, L., see Xia, Z., TII Jan. 2020 629-638 Jiang, Q., Yan, S., Yan, X., Yi, H., and Gao, F., Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring  ...  Wang, C., +, TII April 2020 2667-2676 Semisupervised Multilabel Deep Learning Based Nonintrusive Load Monitoring in Smart Grids.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

A model personal energy meter

Simon Hay, Apollo-University Of Cambridge Repository, Apollo-University Of Cambridge Repository
2011
By combining crowdsourced building-inventory information and a simple building energy model it is possible to estimate an individual's energy use disaggregated by device class with very little direct sensing  ...  This dissertation investigates a personal energy meter which can record and apportion an individual's energy usage in order to supply baseline information and incentives for reducing our environmental  ...  To get around this problem, Kim et al. proposed a Nonintrusive Autonomous Water Monitoring System (NAWMS), which used vibration sensors attached to individual water pipes to construct a self-calibrating  ... 
doi:10.17863/cam.16367 fatcat:tolx3cxplfbuvjcmofnpirbpmu

A Survey on Home Energy Management

Joaquim Leitao, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
2020 IEEE Access  
INDEX TERMS Energy efficiency, home energy management systems, household appliance models, load management, optimal scheduling, smart homes, security.  ...  Hence, improving energy efficiency in buildings will result in economical and environmental gains.  ...  Usually, individual appliance consumption signals are collected, although disaggregation techniques such as NonIntrusive Load Monitoring (NILM) [9] can be applied to extract individual appliance consumption  ... 
doi:10.1109/access.2019.2963502 fatcat:2xqhdabctnephfs5kkbihopue4
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