38 citations · 58 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data
Dumindu Tissera, Omar Awadallah, Muhammad Umair Danish +2
Multi-label Classification (MLC) assigns an instance to one or more non-exclusive classes. A challenge arises when the dataset contains a large proportion of instances with no assi…
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…
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
Muhammad Umair Danish, Mathumitha Sureshkumar, Tehara Fonseka +2
This research provides an in-depth evaluation of various machine learning models for energy forecasting, focusing on the unique challenges of seasonal variations in student residen…