Artificial intelligence

Abstract: The article proposes an approach to monitoring the efficiency of consumption of energy resources in technological systems, which is based on observing the precedents of stationary energy consumption. This approach allows us to adapt to the local conditions of the technological system and to detect in a timely manner any disturbances of the technological process that lead to unexpected energy losses. The peculiarity of energy monitoring based on observing and fixing the precedents of stationary conditions of energy consumption consists of the formation of precedent images in the form of stochastic estimates of factors of influence on energy consumption and subsequent processing by methods of artificial intelligence.

Keywords: energy efficiency, considerations on the basis of precedents, decision-making support, search for analogies

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