OVERVIEW

Dr.-Ing. Abhilash Bandam is an energy-systems researcher and consultant specialising in AI, machine learning, and data-driven modelling for power systems and integrated energy infrastructures. His expertise spans advanced computational methods for grid analysis, renewable integration, sector coupling (electricity, heat, gas, hydrogen), and resilience assessment using synthetic topologies and predictive analytics. He holds a doctoral degree (Dr.-Ing., summa cum laude) from RWTH Aachen University, earning the Borchers Medal for his dissertation on geo-referenced synthetic network models.

Areas of Expertise

•  Energy Systems
• Distribution grid modelling
• ML and AI for Power system applications
• Data-driven modelling
• Sector coupling

Awards and honours

• Borchers Medal (Borchers‑Plakette) from RWTH Aachen University for outstanding doctoral dissertation

Research

Research Interests

• Data‑driven and machine‑learning approaches for energy‑system modeling, building‑stock characterization, and grid‑segmentation.
• Risk‑ and resilience‑oriented assessment of distribution‑infrastructure operation under extreme events and rapid technology change.
• Hybrid modeling combining physics-based simulation with deep learning for real-time energy system optimization.

Publications

• Bandam, Abhilash, et al. “Classification of building types in germany: A data-driven modeling approach.” Data 7.4 (2022): 45.
• Bandam, Abhilash. “Future Distribution Grids Using Geo-Referenced Synthetic Network Topologies.” (2024).
• Abhilash, Bandam, et al. “Geo-referenced synthetic low-voltage distribution networks: A data-driven approach.” 2021 IEEE PES
• Innovative Smart Grid Technologies Europe (ISGT Europe). IEEE, 2021.