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- Centre National de la Recherche ScientifiqueFR90 papers
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27 papers · 1 filter
High-resolution weather-guided surrogate modeling for data-efficient cross-location building energy prediction
Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger
Building design optimization often depends on physics-based simulation tools such as EnergyPlus, which, although accurate, are computationally expensive and slow. Surrogate models…
A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under non-IID Challenges
Eyad Gad, Zubair Md Fadlullah, Mostafa M. Fouda
In the context of the growing proliferation of user devices and the concurrent surge in data volumes, the complexities arising from the substantial increase in data have posed form…
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…
A Multi-Step Comparative Framework for Anomaly Detection in IoT Data Streams
Mohammed Al-Qudah, Fadi AlMahamid
The rapid expansion of Internet of Things (IoT) devices has introduced critical security challenges, underscoring the need for accurate anomaly detection. Although numerous studies…
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…