38 citations · 79 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 11 cited
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
Muhammad Umair Danish, Katarina Grolinger
Consumer energy forecasting is essential for managing energy consumption and planning, directly influencing operational efficiency, cost reduction, personalized energy management,…
cs.LG2025★ 38 cited
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers
Muhammad Umair Danish, Katarina Grolinger
Load forecasting plays a crucial role in energy management, directly impacting grid stability, operational efficiency, cost reduction, and environmental sustainability. Traditional…
cs.LG2025★ 30 cited
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data
Mohammad Noorchenarboo, Katarina Grolinger
Detecting anomalies in energy consumption data is crucial for identifying energy waste, equipment malfunction, and overall, for ensuring efficient energy management. Machine learni…