Talks and presentations

1. SESBC Summer School, 2024

💡 Intelligent Energy Data Management and Online decision-making

Presented a modular framework to optimize real-time energy management for households.
Leveraged Linear Programming and heuristics to reduce processing time while maintaining cost-optimal decisions for energy storage and grid sell-off.
Designed for scalability with potential for peer-to-peer energy trading and EV charging optimization.

⚡️ Data Center Energy Management

Presented an EDA technique to process real-time energy data from data centers (DC).
Implemented a Machine Learning framework for thermal classification of DC IT rooms.
Designed deep learning models to forecast utilization of DC computing resources.

🌱 Exploratory Data Analysis for Data Center Energy Management

Analyzed datasets from ENEA Portici Data Center’s CRESCO 6 HPC cluster across various granularity levels.
Applied machine learning for feature selection and modeling to identify key energy efficiency factors.
Explored green strategies using renewable energy, efficient computing, and optimized cooling to reduce environmental impact.

Best Presentation Award 🏆

🔋 Advanced Data Analytics Modelling for Evidence-Based Data Center Energy Management

Conducted advanced data analytics on the ENEA Portici Research Center’s High Performance Computing Cluster.
Performed comprehensive EDA, feature selection, and extraction using statistical analysis and machine learning techniques on real-time big data.
Implemented deep learning and time-series forecasting to predict resource utilization, energy consumption, and waste in the data center.