127 citations · 189 across the 17 of their papers we have counts for
3 papers · 1 filter
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks
Firas Bayram, Phil Aupke, Bestoun S. Ahmed +3
Load forecasting is a crucial topic in energy management systems (EMS) due to its vital role in optimizing energy scheduling and enabling more flexible and intelligent power grid s…
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors
Firas Bayram, Bestoun S. Ahmed, Andreas Kassler
The dynamicity of real-world systems poses a significant challenge to deployed predictive machine learning (ML) models. Changes in the system on which the ML model has been trained…
Using Deep Reinforcement Learning for Zero Defect Smart Forging
Yunpeng Ma, Andreas Kassler, Bestoun S. Ahmed +4
Defects during production may lead to material waste, which is a significant challenge for many companies as it reduces revenue and negatively impacts sustainability and the enviro…