会议专题

STEADY STATE CRITERION AND CASE-BASED OPTIMIZING OPERATION OF ENERGY SYSTEM

This paper addresses the issues about the optimizing operation of large-scale energy system and the utilization of long-term operation data of continuous process. Data screening criterion is defined for this kind of data and case-based method is imported for the instruction of system optimal operation. These key steps are considered, especially, a novel case adaptation scheme is proposed depending on multi-cases, and the decision factor defined can greatly enhance the decision support ability of case-based system. The problem-solving scheme proposed in the paper, combining domain model, statistical analysis and artificial intelligence method together, is an effective effort for these homologous issues in engineering.

Energy system Case-based system Optimizing operation Power unit Decision support

LI-PING LI ZHENG LI

State Key Lab of Power System, Dept.of Thermal Engineering, Tsinghua University, Beijing 100084, China

国际会议

2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

保定

英文

1606-1610

2009-07-12(万方平台首次上网日期,不代表论文的发表时间)