POSTECH IME SEA Lab. aims to provide better decision-making strategies for several types of stakeholders based on the better understanding of future dynamics in complex systems and interactions among stakeholders. Our approaches are mainly based on various techniques from optimization, stochastic process, and also economics.
Particularly, we have been conducting researches about “Business Operation Design” and “Sequential/Multi-agent Decision System Operation” based on (1) Optimization models under uncertainty (stochastic programming, robust optimization), (2) sequential decision process models (dynamic programming, reinforcement learning), and (3) multi-agent system models (game theory, multi-agent learning).
(1) Optimization under uncertainty
[Research Topics]
- Bottom-up Energy System Modeling
- Long-term Capacity Expansion Planning
[Related Projects]
- 불확실성을 고려한 신기후변화체제 대응 최적 기술 투자 포트폴리오 의사결정 연구
- 한국형 상하향식 온실가스 통합 감축 시스템 개발 연구단
- 전력수급의 환경 비용과 공급 신뢰도
(2) Sequential decision process models
[Research Topics]
- Pricing and Revenue Management
- Inventory Management
[Related Projects]
- 데이터 기반 GS 리테일 운영관리 효율화
- 지능형 소규모 분산자원 전력중개 최적 입찰량 결정 연구
(3) Multi-agent system models
[Research Topics]
- Market Mechanism Design
- Platform Business Model Operation
[Related Projects]
- 지능형 소규모 분산자원 전력중개 최적 입찰량 결정 연구
- 지능형 교통신호 제어기술 개발