过去一年中添加的文章,按日期排序

Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning

R Zhang, Y Sun, MA Mustafa - arXiv preprint arXiv:2405.18888, 2024 - arxiv.org
28 天前 - non-intrusive load monitoring (NILM) adversary. The results demonstrate that our
approach not … usage patterns but also outperforms state-of-the-art methods in enhancing user …

[HTML][HTML] 一种用于非侵入式负荷分解的改进时域卷积网络

张玉荣, 薛怀琦, 姚志远 - Modeling and Simulation, 2024 - hanspub.org
51 天前 - … 摘要: 非侵入式负载监测(Non-Intrusive Load Monitoring)是通过… -of-the-art prediction
results. The TCN network … ,Precision,F 1 等指标大都优于NILM深度学习领域综合性能较优的…

Event Detection Based on Robust Random Cut Forest Algorithm for Non-Intrusive Load Monitoring

L Lu, JS Kang, M Yu - Journal of Modern Power Systems and …, 2024 - ieeexplore.ieee.org
79 天前 - Non-intrusive load monitoring (NILM), which was initially proposed in [6], can provide
individual electrical load … via non-intrusive load monitoring: a state-of-the-art systematic …

Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances

A Pirnat, B Bertalanič, G Cerar, M Mohorčič… - IEEE …, 2024 - ieeexplore.ieee.org
91 天前 - … As an alternative, a non-intrusive load monitoring (NILM) … on NILM data. We
prove that its performance is better than state of the art CNNs and CRNNs and state of the art

Load Identification Based on Attention Semi-supervised Curriculum Label Learning with AVME-HT Feature

J Jiang, Z Wang, H Zhao, S Qiu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
97 天前 - Non-intrusive load monitoring (NILM) is a technology that … via non-intrusive load
monitoring: A state-of-the-art … Chang, “Feature selection of nonintrusive load monitoring system …

Non-Intrusive Load Monitoring with Missing Data Imputation Based on Tensor Decomposition

DY Shi - arXiv preprint arXiv:2403.07012, 2024 - arxiv.org
110 天前 - Non-Intrusive Load Monitoring (NILM) technology is employed to estimate the energy
… In this section, we compare the PNLFT model with several state-of-the-art TC models to …

ST-NILM: A Wavelet Scattering-Based Architecture for Feature Extraction and Multi-Label Classification in NILM Signals

EL De Aguiar, L da Silva Nolasco… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
135 天前 - … Abstract— Non-Intrusive Load Monitoring (NILM) is a … work and the main state-of-the-art
methods, taking into … to non intrusive load monitoring,” Entropy, vol. 22, no. 9, pp. …

A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context

H Rafiq, P Manandhar, E Rodriguez-Ubinas… - Energy and …, 2024 - Elsevier
171 天前 - … This paper reviews the state-of-the-art of NILM by following a structured assessment
process to consider relevant and most recent documents in the literature. It presents the …

Efficient Energy Optimization Techniques for Smart Grids Which Uses ML And DL Algorithms

R Singhal, D Mehta, K Sharma - 2023 International Conference …, 2023 - ieeexplore.ieee.org
191 天前 - … , BERT-NILM outperforms the state-of-the-art adaptation … critical role that non-intrusive
load analysis (NILM) plays in … topologies and subtle load surveillance (NILM). This scope …

Shared Encoder with Attention for Non-Intrusive Appliance Load Monitoring

MTI Bhuian, MS Islam, MF Uddin - 2023 10th IEEE …, 2023 - ieeexplore.ieee.org
197 天前 - … —Non-intrusive load monitoring (NILM) is a methodology used to deduce the
power consumption and operational status of … The proposed approach outperforms state-of-the-art