The control is an important system component of solar thermal systems. Programming of the control algorithms incurs significant component costs. Here, the use of the neural network methodology could result in significant cost advantages. At the same time, this also offers new possibilities for control optimization with respect to energy consumption optimization. The main objective of the “ANNsolar” project is the development and demonstration of the monetary and technical advantages of the neural network methodology. The option to generate self-learning algorithms enables the realization of complex control strategies for increased energy efficiency in a significantly simpler manner. | Duration: October 2014 - June 2018
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