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Residential Load Disaggregation Considering State Transitions
IEEE Transactions on Industrial Informatics, 2020Information about power consumption patterns of devices, helps the residential consumers manage their energy usage. Nonintrusive load monitoring is an effective tool to extract the consumption patterns from the measured aggregated data at the meter.
Sevda Zeinal-Kheiri +2 more
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Improving Load Forecast Accuracy of Households Using Load Disaggregation Techniques
2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2020The growing use of smart meters in residential buildings provides access to large volumes of consumer data with low-sampling frequency for demand-side analysis. Unlike system-level aggregated data, the measurements from smart meters show more stochastic and irregular behaviour.
Aida Mehdipour Pirbazari +3 more
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On load disaggregation using discrete events
2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016Load disaggregation involves identification of the operating appliances and their respective power consumption using only total building power consumption data. Load disaggregation also called as non-intrusive load monitoring can offer consumers greater visibility about their individual appliance power consumption. This information will help customers (
Naveen Kumar Thokala +2 more
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Exploring Time Series Imaging for Load Disaggregation
Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2020In this paper, we investigate the benefits of time-series imaging in load disaggregation, as we augment the wide-spread sequence-to-sequence approach by a key element: an imaging block. The approach presented in this paper converts an input sequence to an image, which in turn serves as input to a modified version of a common Denoising Autoencoder ...
Hafsa Bousbiat +2 more
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Smart Meter Based Non-intrusive Load Disaggregation and Load Monitoring
2021With the advancement in metering technology, a large field of possibilities has opened. The presence of smart meters that from year to year have better metering capabilities is rising, and they are common for both commercial and residential consumers.
Tarik Hubana, Elma Begić
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PALDi: Online Load Disaggregation via Particle Filtering
IEEE Transactions on Instrumentation and Measurement, 2015Smart metering and fine-grained energy data are one of the major enablers for future smart grid and improved energy efficiency in smart homes. Using the information provided by smart meter power draw, valuable information can be extracted as disaggregated appliance power draws by non-intrusive load monitoring (NILM).
Dominik Egarter +2 more
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Power signature-based non-intrusive load disaggregation
International Journal of Modelling, Identification and Control, 2013For more efficient energy consumption, it is crucial to have accurate information on how power is being consumed through a single power measurement. It benefits both market participants such as retailers, network businesses and also power consumers. This means that the metering device must not only be able to distinguish between different loads on a ...
Jiaming Li, Sam West, Glenn Platt
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Simple Load Disaggregation Library based on NILMTK
2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), 2020Load disaggregation is a method to predict appliance power usage from a household power meter reading. A powerful open-source tool used in load disaggregation task is called Non-Intrusive Load Monitoring Toolkit (NILMTK). The toolkit provides many features such as built-in basic statistics, evaluation metrics and disaggregation algorithm comparison ...
Kitisak Osathanunkul +1 more
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Dilated residual attention network for load disaggregation
Neural Computing and Applications, 2019Load disaggregation technology is a key technology to realize real-time nonintrusive load monitoring (NILM), and deep learning method has shown great promise for NILM. However, current load disaggregation models based on deep learning are prone to the problems of gradient disappearance and model degradation, and it is difficult to extract effective ...
Min Xia +4 more
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On electrical load disaggregation using factor graphs
2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013The problem of source separation in general and electrical load disaggregation in particular, is an important component within the context of cyber-physical systems. Electric load disaggregation aims to bring in a number of benefits for different stake holders from end consumer to utilities and grid companies.
Y. G. Goutam +3 more
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