Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions.
Kang LiSteve ThompsonPeter A. WieringaJ. PengGuang-Ren DuanPublished in: Cogn. Technol. Work. (2003)
Keyphrases
- power plant
- coal fired
- power grid
- supervisory control
- electric power
- neural networks and genetic algorithms
- fault detection and diagnosis
- soft computing
- fault diagnosis
- fault detection
- historical data
- power generation
- decision support system
- human operators
- real time
- traffic control
- intrusion detection
- computational intelligence
- multi agent systems