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References from Non-invasive load-shed authentication model for demand response applications assisted by event-based non-intrusive load monitoring. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1787/weo-2018-en
10.1787/weo-2018-en · 2018 · External reference
A generic optimisation-based approach for improving non-intrusive load monitoring," (in English)
10.1109/tsg.2019.2906012 · 2019 · External reference
Review of smart meter data analytics: applications, methodologies, and challenges," (in English)
10.1109/tsg.2018.2818167 · 2019 · External reference
Design and operation of an open, interoperable automated demand response infrastructure for commercial buildings," (in English)
10.1115/1.3130788 · 2009 · External reference
A survey on demand response programs in smart grids: Pricing methods and optimization algorithms
10.1109/comst.2014.2341586 · 2014 · External reference
Solutions for summer electric power shortages: demand response and its applications in air conditioning and refrigerating systems
2008 · External reference
Applications of non-intrusive load monitoring towards smart and sustainable power grids: a system perspective
2019 · External reference
Performance evaluation in non-intrusive load monitoring: Datasets, metrics, and tools—A review
2018 · External reference
An extensible approach for non-intrusive load disaggregation with smart meter data
10.1109/tsg.2016.2631238 · 2016 · External reference
Event-Detection Algorithms for Low Sampling Nonintrusive Load Monitoring Systems Based on Low Complexity Statistical Features," (in English)
10.1109/tim.2019.2904351 · 2020 · External reference
Event detection for non intrusive load monitoring
2012 · External reference
Non-intrusive load monitoring system framework and load disaggregation algorithms: a survey
2019 · External reference
NILM techniques for intelligent home energy management and ambient assisted living: a review," (in English)
10.3390/en12112203 · 2019 · External reference
An overview of non-intrusive load monitoring: approaches, business applications, and challenges
2018 · External reference
Non-intrusive load monitoring through home energy management systems: a comprehensive review," (in English)
10.1016/j.rser.2017.05.096 · 2017 · External reference
Is disaggregation the holy grail of energy efficiency? The case of electricity
10.1016/j.enpol.2012.08.062 · 2013 · External reference
Nonintrusive Load Monitoring Algorithm Using Mixed-Integer Linear Programming," (in English)
10.1109/tce.2018.2843292 · 2018 · External reference
Toward non-intrusive load monitoring via multi-label classification," (in English)
10.1109/tsg.2016.2584581 · 2017 · External reference
Low-complexity energy disaggregation using appliance load modelling," (in English)
10.3934/energy.2016.1.1 · 2016 · External reference
Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks
10.1016/j.ijepes.2018.07.026 · 2019 · External reference
A practical solution for non-intrusive type II load monitoring based on deep learning and post-processing
10.1109/tsg.2019.2918330 · 2019 · External reference
Non-Intrusive A/C Load disaggregation using deep learning
2018 · External reference
10.1016/j.egyai.2020.100020 · 2020 · Admitted local publication
Demand response and smart grids—A survey
10.1016/j.rser.2013.10.022 · 2014 · External reference
Demand response in electricity markets: an overview
2007 · External reference
Automated demand response for smart buildings and microgrids: the state of the practice and research challenges," (in English)
10.1109/jproc.2016.2520639 · 2016 · External reference
Towards customer-centric energy utilities-A granular data-driven bottom-up approach to understanding energy customer trends
10.1016/j.tej.2020.106836 · 2020 · External reference
Unresolved reference
2019 · External reference
Incorporating non-intrusive load monitoring into building level demand response," (in English)
10.1109/tsg.2013.2258180 · 2013 · External reference
10.1016/j.egyai.2020.100022 · 2020 · Admitted local publication
Metrics for polyphonic sound event detection," (in English)
10.3390/app6060162 · 2016 · External reference
Predicting human liver microsomal stability with machine learning techniques
10.1016/j.jmgm.2007.06.005 · 2008 · External reference
The measurement of observer agreement for categorical data
10.2307/2529310 · 1977 · External reference
Unresolved reference
2018 · External reference
Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations
2010 · External reference
Scikit-learn: Machine Learning in Python," (in English)
2011 · External reference
Unresolved reference
External reference
Dataport and NILMTK: A building data set designed for non-intrusive load monitoring
2015 · External reference
A collaborative model for participatory load management in the smart grid
2012 · External reference
Smart consumer load balancing: state of the art and an empirical evaluation in the Spanish electricity market
10.1007/s10462-012-9391-6 · 2013 · External reference
A generic data driven approach for low sampling load disaggregation," (in English)
10.1016/j.segan.2016.12.006 · 2017 · External reference
A new event detection technique for residential load monitoring
2018 · External reference
Low Complexity event detection algorithm for non- intrusive load monitoring systems
2018 · External reference
Supervised machine learning: a review of classification techniques," (in English)
2007 · External reference
10.1016/j.egyai.2020.100006 · 2020 · Admitted local publication
A review of supervised machine learning algorithms
2016 · External reference
10.1016/j.egyai.2020.100015 · 2020 · Admitted local publication
Genetic-algorithm-based optimization approach for energy management
10.1109/tpwrd.2012.2219598 · 2012 · External reference
Demand side management in smart grid using heuristic optimization," (in English)
10.1109/tsg.2012.2195686 · 2012 · External reference
