Results 31 to 40 of about 3,621 (255)
Non-Intrusive Load Monitoring for Multi-objects in Smart Building [PDF]
2021 International Balkan Conference on Communications and Networking (BalkanCom), 2021 The rapidly expansion of Internet of Things (IoT) has ignited renewed interest in energy disaggregation via nonintrusive load monitoring (NILM). Compared to the more frequent NILM approach of training one model for each appliance, this paper proposes a multi-label learning approach based on the widely cited sequence2point convolutional neural network ...
Li, Dandan +5 more
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Deep Adaptive Ensemble Filter for Non-Intrusive Residential Load Monitoring
Sensors, 2023 Identifying flexible loads, such as a heat pump, has an essential role in a home energy management system. In this study, an adaptive ensemble filtering framework integrated with long short-term memory (LSTM) is proposed for identifying flexible loads ...
Nasrin Kianpoor +2 more
doaj +1 more source
Non-Intrusive Load Monitoring Using Current Shapelets [PDF]
Applied Sciences, 2019 Using a single-point sensor, non-intrusive load monitoring (NILM) discerns the individual electrical appliances of a residential or commercial building by disaggregating the accumulated energy consumption data without accessing to the individual components. To classify devices, potential features need to be extracted from the electrical signatures.
Md. Mehedi Hasan +2 more
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Disaggregating Transform Learning for Non-Intrusive Load Monitoring
IEEE Access, 2018 This paper addresses the problem of energy disaggregation/non-intrusive load monitoring. It introduces a new method based on the transform learning formulation. Several recent techniques, such as discriminative sparse coding, powerlet disaggregation, and
Megha Gaur, Angshul Majumdar
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Efficient Supervised Machine Learning Network for Non-Intrusive Load Monitoring
Technologies, 2022 From a single meter that measures the entire home’s electrical demand, energy disaggregation calculates appliance-by-appliance electricity consumption.
Muhammad Usman Hadi +2 more
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NON-INTRUSIVE LOAD MONITORING: IMPLEMENTATION EFFECTS AND DISTRIBUTION PROSPECTS
Стратегические решения и риск-менеджмент, 2020 The digital transition in the electric power industry is a promising goal for the development of the industry. In recent years, a wide range of technologies has been introduced into various types of activities of energy companies, including significant ...
P. S. Kuzmin
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IET Generation, Transmission & Distribution, 2021 With the development of smart grids, appliance‐level data information plays a vital role in smart power consumption. Nowadays, appliance signatures detected by non‐intrusive load monitoring (NILM) can be used for anomaly detection, demand response, and ...
Yinghua Han +3 more
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Energy and AI, 2021 With today's growth of prosumers and renewable energy resources, it is inevitable to incorporate the demand-side approaches for reliable and sustainable grid operation.
Attique Ur Rehman +3 more
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Scale- and Context-Aware Convolutional Non-Intrusive Load Monitoring [PDF]
IEEE Transactions on Power Systems, 2020 Accepted by IEEE Transactions on Power ...
Kunjin Chen +5 more
openaire +4 more sources
A non-intrusive load monitoring method based on linear complexity self-attention mechanism
Diance yu yibiaoNon-intrusive load monitoring (NILM) technology is of great significance for achieving smart power consumption and management. Aiming at the problems of insufficient recognition accuracy of existing non-intrusive load monitoring methods for feature ...
LIAO Yaohua +5 more
doaj +1 more source