8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2024
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework
Jihan Ghanim, Mariette Awad
Anomaly detection (AD) plays a crucial role in time series applications, primarily because time series data is employed across real-world scenarios. Detecting anomalies poses signi…
cs.LG2023★ 8 cited
An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction
Jihan Ghanim, Maha Issa, Mariette Awad
Building an accurate load forecasting model with minimal underpredictions is vital to prevent any undesired power outages due to underproduction of electricity. However, the power…