Development of an artificial neural network model for the steam process of a coal biomass cofired combined heat and power (CHP) plant in Sweden
The development of a model for any energy system is required for proper design, operation or its monitoring. Models based on accurate mathematical expressions for physical processes are mostly useful to understand the actual operation of the plant. However, for large systems like combined heat and power (CHP) plants, such models are usually complex in nature. The estimation of output parameters us
