David Quispe Guanoluisa, M.Sc.
Technical University of Munich
Associate Professorship of Energy Management Technologies (Prof. Goebel)
Postal address
Arcisstr. 21
80333 München
- Phone: -
- Room: 0108.02.805
- david.quispe@tum.de
Academic background
- Bachelor's Degree in Electronics & Control Engineering at National Polytechnic School
- Master of Applied Science in Machine Learning & Data Science at University of Toronto
Research interests
- Deep Reinforcement Learning
- Explainable AI
- AI for Climate Change
- Industrial AI
Projects
- INTELLIGENT - INteroperable Tools for nEtwork-aware, Ledger-based Local energy sharIng and flexibility manaGEment leveraging user engagemeNT
Teaching
- Lecture Machine Learning in Energy Management
- Lab Energy Informatics