Evaluation of Traditional and Data-Driven Algorithms for Energy Disaggregation Under Sampling and Filtering Conditions

Evaluation of Traditional and Data-Driven Algorithms for Energy Disaggregation Under Sampling and Filtering Conditions

Non-intrusive load monitoring (NILM) enables the disaggregation of appliance-level energy consumption from aggregate electrical signals, offering a scalable solution for improving efficiency. This study compared the performance of traditional NILM algorithms (Mean, CO, Hart85, FHMM) and deep neural...

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Bibliographic Details
Main Authors: Carlos Rodriguez-Navarro, Francisco Portillo, Isabel Robalo, Alfredo Alcayde
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Inventions
Subjects:
energy disaggregation
non-intrusive load monitoring
MAE
RMSE
F1-SCORE
NDE
Online Access:https://www.mdpi.com/2411-5134/10/3/43
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