Results 121 to 130 of about 2,135 (206)

Apply Graph Signal Processing on NILM: An Unsupervised Approach Featuring Power Sequences. [PDF]

Sensors (Basel), 2023
Zhao B, Li X, Luan W, Liu B.
europepmc   +1 more source

A resource-efficient machine learning framework for real-time non-intrusive load monitoring and performance optimization in solar-powered aviation systems. [PDF]

Sci Rep
Echarif AM, Che Y, Aouiche EM, Bourezg A, Yousaf MZ, Khan W, Bajaj M, Rubanenko O.   +7 more
europepmc   +1 more source

Optimized statistical test for event detection in non-intrusive load monitoring [PDF]

, 2017
De Baets, Leen, Deschrijver, Dirk, Develder, Chris, Dhaene, Tom, Ruyssinck, Joeri   +4 more
core   +1 more source

Federated learning-enhanced generative models for non-intrusive load monitoring in smart homes. [PDF]

Sci Rep
Lu Y, Xu S, Liu Y, Jiang X.
europepmc   +1 more source

Deep Adaptive Ensemble Filter for Non-Intrusive Residential Load Monitoring. [PDF]

Sensors (Basel), 2023
Kianpoor N, Hoff B, Østrem T.
europepmc   +1 more source

Multimodal Utility Data for Appliance Recognition: A Case Study with Rule-Based Algorithms. [PDF]

Sensors (Basel)
Orłowski A, Gajowniczek K, Bator M, Budzyński R.   +3 more
europepmc   +1 more source

Confidence-Based, Collaborative, Distributed Continual Learning Framework for Non-Intrusive Load Monitoring in Smart Grids. [PDF]

Sensors (Basel)
Lan C, Luo Q, Yu T, Liang M, Pan Z.
europepmc   +1 more source

Capturing High-Frequency Harmonic Signatures for NILM: Building a Dataset for Load Disaggregation. [PDF]

Sensors (Basel)
Dinar F, Paris S, Busvelle É.
europepmc   +1 more source

On enabling collaborative non-intrusive load monitoring for sustainable smart cities. [PDF]

Sci Rep, 2023
Shi Y, Li W, Chang X, Yang T, Sun Y, Zomaya AY.   +5 more
europepmc   +1 more source

Federated learning-based non-intrusive load monitoring adaptive to real-world heterogeneities. [PDF]

Sci Rep
Luo Q, Lan C, Yu T, Liang M, Xiao W, Pan Z.   +5 more
europepmc   +1 more source