Our research
Our research
The Ariel Liebman PhD research projects are aligned with the RACE for 2030 research priorities, spanning three of its five research programs: RACE for homes, RACE for networks, and RACE for EVs.
Each research topic was developed, pitched and reviewed collaboratively by Monash University Indonesia, RACE for 2030, and PT PLN (Persero) to ensure strong alignment with industry needs and the challenges of Indonesia’s clean energy transition.
The scholars are supported by expert supervisory teams with relevant academic and industry expertise, drawing on supervisors from Monash University Indonesia, Monash University, Australia, and partner universities in Indonesia. This collaborative supervisory model strengthens the scholars’ research capabilities while creating opportunities for cross-institutional knowledge exchange and collaboration.
- Smart home energy management using pervasive AI.
- Operationalising Just Energy Transition (JET) in geothermal development: A socio-technical analysis of community inclusivity and social legitimacy in Flores, Indonesia.
- Urban systems and equitable energy transitions: A multi-scalar approach to decarbonizing Indonesia's residential building sector.
- Data-driven modelling for grid-Integrated renewable energy distribution: Demand side forecasting and grid optimization.
- Toward net zero 2060: Optimizing renewable energy distribution in Indonesia’s hybrid grids using agentic AI.
- Distributed edge intelligence for faster restoration and anomaly detection in smart grid distribution operations.
- Dynamic incentive optimization for interdependent consumer solar power and utility BESS operations in Indonesia's regulated electricity market: A multi-agent deep reinforcement learning approach.
- The role of trust in consumer adoption of EVs in emerging markets.
- Pathways to advancing sustainable transportation: A focus on Indonesia's EV ecosystem.