| 학회 | 한국화학공학회 |
| 학술대회 | 2012년 봄 (04/25 ~ 04/27, 제주 ICC) |
| 권호 | 18권 1호, p.219 |
| 발표분야 | 공정시스템 |
| 제목 | Modeling and stochastic dynamic optimizaiton for energy management system |
| 초록 | With ever-growing global demand for energy and severe environmental regulations, optimal management of energy distribution system and policy is becoming an importat problem for many countries. This necessitates investments in R&D infrastructure as well as resource allocation strategies for alternative energy resources. We present a stochastic model that decribes energy resource allocation under uncertainty and derive an optimal policy for long-term investments in novel technologies. A probabilistic model based on Markov chain that balances the demand and suuply constructed considering the city boudaries and electric power system in South Korea. This study proposes an algorithmic strategy based on the framework of approximate dynamic programming and demonstrate the methodology using the available data in the literature reflecting the current situation of Korea. |
| 저자 | 최고봉1, 이석구1, 이종민1, 서정철2 |
| 소속 | 1서울대, 2삼천리 |
| 키워드 | Approximate dynamic programming |
| 원문파일 | 초록 보기 |
