Keywords
technological system
machine learning
analysis of precedents
How to Cite
Abstract
Hidden losses in the technological system occur accidentally due to the appearance of defects in the equipment, erroneous actions of personnel, changes in uncontrolled external conditions. The paper considers a method of detecting and estimating hidden energy losses, based on machine learning and analysis of energy consumption precedents, aimed at eliminating such energy losses.
References
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