Abstract
The increasing complexity of modern thermal power plants and the demands of economic as well as the operational requirements necessitate the need for continuing improvements in power plant performance monitoring and optimization techniques. The paper discusses an integrated approach for real-time plant performance monitoring. An initial investigation into performance monitoring using artificial neural networks is presented. Unit heat rate and a predictive plant model for optimal plant control are described as two case studies.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | IEEE Xplore |
| Pages | 223-226 |
| Number of pages | 4 |
| Publication status | Published (in print/issue) - Sept 1995 |
| Event | Universities Power Engineering Conference 1995 - Greenwich, UK Duration: 1 Sept 1995 → … |
Conference
| Conference | Universities Power Engineering Conference 1995 |
|---|---|
| Period | 1/09/95 → … |
