Manolis Manousogiannis
Manolis Manousogiannis is a Senior Data Engineer in Eneco's Energy Trading team, specializing in distributed data processing with Spark and Databricks. He holds a background in Computer Science and brings extensive experience in building scalable data solutions.
Session
09-26
11:05
35min
Data that Keeps Our Energy in Balance - From churn prediction with deep learning to real-time trading systems
Pablo Estevez, Manolis Manousogiannis
This talk explores how data science helps balance energy systems in the face of demand volatility, generation volatility, and the push for sustainability. We’ll dive into two technical case studies: churn prediction using survival models, and the design of a high-availability real-time trading system on Databricks. These examples illustrate how data can support operational resilience and sustainability efforts in the energy sector.
Orbit