Outputs (2)

Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum (2024)
Presentation / Conference Contribution
Dua, A., Singh Aujla, G., Jindal, A., & Sun, H. (2024, December). Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum. Presented at IEEE Global Communications Conference - Workshop on Next-Gen Healthcare Fusion (NgHF): AI-driven Secure Integrated Networks for Healthcare IoT Systems, Cape Town, South Africa

The increasing demand for machine learning (ML) technologies has led to a significant rise in energy consumption and environmental impact, particularly within the context of distributed computing environments like the Edge-Fog-Cloud Continuum. This p... Read More about Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum.

Two-fold Strategy Towards Sustainable Renewable Energy Networks When Uncertainty is Certain (2024)
Journal Article
Garg, A., Singh, A., Singh Aujla, G., & Sun, H. (online). Two-fold Strategy Towards Sustainable Renewable Energy Networks When Uncertainty is Certain. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/TCE.2024.3475581

With renewable energy sources (RESs) integrated into modern power systems, energy consumers participate in the energy market making the entire network more complex and uncertain. Therefore, adaptive strategies are needed to address the various uncert... Read More about Two-fold Strategy Towards Sustainable Renewable Energy Networks When Uncertainty is Certain.