most citedKolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers

38 citations · 58 across the 8 of their papers we have counts for

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cs.LG20257 cited

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…

cs.LG2025

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…

cs.LG202511 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.LG202538 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

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…