Title :
Process monitoring and optimization for power systems applications
Author_Institution :
Case Western Reserve Univ., Cleveland, OH, USA
fDate :
27 Jun- 2 Jul 1994
Abstract :
Three distinct computational intelligence paradigms combine to support the task of process monitoring and optimization. These are neural-net computing, evolutionary programming and fuzzy-logic. We describe briefly some of our contributions to these paradigms and outline how they function in process monitoring and optimization. Four different types of monitoring tasks are considered. This type of combined computational intelligence is being applied successfully to optimal process planning in electric power utilities. Examples of these include heat rate improvement and NOx minimization at some Western Pennsylvania and Western New York State utilities
Keywords :
computerised monitoring; fuzzy logic; neural nets; optimisation; power engineering computing; power system measurement; power system planning; NOx minimization; USA; Western New York State; Western Pennsylvania; combined computational intelligence; computational intelligence paradigms; electric power utilities; evolutionary programming; fuzzy-logic; heat rate improvement; neural-net computing; optimal process planning; power systems applications; process monitoring; process optimization; Cogeneration; Computational intelligence; Fuzzy logic; Genetic programming; Logic programming; Monitoring; Power system modeling; Power systems; Process planning; Sensor systems;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374799
