Soft computing and control of district heating system
نویسندگان
چکیده
The article deals with the possible methodology of processing of data and information for the search of prediction of heat supply daily diagram (HSDD). The methodology includes technical analyses regression analysis, dynamic models, fuzzy logic, artificial neural networks, genetic algorithms, chaos analysis, hybrid models, dynamical simulations and other methods. The process of decision making and evaluation are also mentioned.
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