38 citations · 87 across the 5 of their papers we have counts for
5 papers
Physics-Guided Memory Network for Building Energy Modeling
Muhammad Umair Danish, Kashif Ali, Kamran Siddiqui +1
Accurate energy consumption forecasting is essential for efficient resource management and sustainability in the building sector. Deep learning models are highly successful but str…
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,…
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…
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…
Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images
Memoona Aziz, Umair Rehman, Muhammad Umair Danish +1
This paper introduces the Global-Local Image Perceptual Score (GLIPS), an image metric designed to assess the photorealistic image quality of AI-generated images with a high degree…