
This paper presents a PC-based Windows application software package for production of optimised maintenance schedules, performing economic dispatch, predicting actual dates for long-term maintenance scheduling and querying the current status of a generating unit from data files. A new heuristic algorithm based on the tabu search has been proposed as a solution. Using The Power Generation Company of Trinidad and Tobago as the testing ground, a software package was developed and implemented in Matlab 6.5 providing user-friendly graphical user interfaces (GUIs). Numerical results have been obtained and the effectiveness of this developed software has been demonstrated. Selected outputs of the software are presented in this paper for illustration purposes.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
