AktuellesKolloquiumsvortrag: 06. Oktober 2026, 10:15 Uhr, Deep Reinforcement Learning for Residential Energy Management
Betreuer/in: Babaeian This master’s project investigates how PPO and SAC can control a residential battery using real 2019 household, solar, and electricity price data.The agents must balance conflicting objectives: reducing electricity costs and increasing solar self-consumption while limiting battery degradation.Their performance is compared with rule-based and perfect-foresight controllers. Raum 04.137, Martensstr. 3, Erlangen oder Zoom:https://fau.zoom-x.de/j/68350702053?pwd=UkF3aXY0QUdjeSsyR0tyRWtLQ0hYUT09 […]Betreuer/in: Babaeian This master’s project investigates how PPO and SAC can control a residential battery using real 2019 household, solar, and electricity price data.The agents must balance conflicting objectives: reducing electricity costs and increasing solar self-consumption while limiting battery degradation.Their performance is compared with rule-based and perfect-foresight controllers. Raum 04.137, Martensstr. 3, Erlangen oder Zoom:https://fau.zoom-x.de/j/68350702053?pwd=UkF3aXY0QUdjeSsyR0tyRWtLQ0hYUT09 […]
