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An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Cover

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework

Journal of Artificial Intelligence and Soft Computing Research
Volume 15 (2025): Issue 1 (January 2025)
By: Jihan Ghanim and  Mariette Awad  
Open Access
|Dec 2024
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DOI: https://doi.org/10.2478/jaiscr-2025-0001
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Language: English
Page range: 5 - 24
Submitted on: Mar 9, 2024
Accepted on: Sep 29, 2024
Published on: Dec 8, 2024
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
anomaly detection,
reinforcement learning,
model selection,
time series forest,
time series power consumption
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2024 Jihan Ghanim, Mariette Awad, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 15 (2025): Issue 1 (January 2025)
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