InnoCyPES: Tutorial - Synthetic Smart Meter Data Generation using Variational Autoencoders

This lecture is designed for researchers, students, and professionals interested in smart energy systems, data modelling, and synthetic data generation using machine learning methods. Across these two sessions, you will explore both the theoretical foundations and practical applications of these techniques.
Part 2: Tutorial - Synthetic Smart Meter Data Generation using Variational Autoencoders
-A step-by-step guide to implementing VAEs for smart meter datasets.
-Key concepts in latent variable modelling and generative modelling.
-Practical coding session in Python to generate synthetic data using VAEs.
🛠️ Resources:
Tutorial GitHub Repository: 
github.com/kab...
Watch Part 1:
Modeling Smart Meter Data: Why and How?
• InnoCyPES: Modelling S...
About the presenter:
Kutay Bölat holds a double major bachelor's degree in Electronics and Communications Engineering and Control and Automation Engineering from Istanbul Technical University. He further specialized in Control and Automation Engineering during his master's at the same institution, where his thesis focused on interpretable low-dimensional data representations and uncertainty quantification using unsupervised deep generative models and fuzzy logic. Currently, Kutay is pursuing a PhD at TU Delft in the Electrical Sustainable Energy department, specifically within the Intelligent Electrical Power Grids group. His primary research interests lie in deep probabilistic modelling.
🌐 Connect:
Website: www.kutaybolat...
LinkedIn: / kabolat
GitHub: github.com/kab...
-----
InnoCyPES Summer School 2024: Exploring the Cyber-Physical Evolution of Offshore Wind and Distribution Grids.
The programme focused on innovative and key topics for the future of power systems: IoT-Edge Networks, Cybersecurity, Data Management, Power Quality, and Grid-Forming Inverter-Based Resources and Stability.
The event was hosted at the Università del Salento in Lecce, Italy, from September 9th to 13th, 2024.
Innovative Tools for Cyber-Physical Energy Systems (InnoCyPES) is a doctoral network part of the Marie Skłodowska-Curie Actions programme, funded by the European Union under the Horizon Europe Research and Innovation Programme.
Website: innocypes.eu