Titlebook: 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022); Volume 2 R. A. Aliev,Nodirbek Rustambekovich Yusupbekov,S

TOXIN

faddish

MENT

,überprüfung der Analysenmethoden,buted energy resources (DER) into electric power systems (EPS) and the use of electric vehicles (EVs) due to low pollution has increased in recent decades. The operating reliability and efficiency of the power systems are affected when DERs and energy storage devices are integrated into a distributi

顛簸下上

https://doi.org/10.1007/978-3-663-05127-5melting furnaces that allows for accounting for the component composition of raw materials, humidity and temperature of the finished charge and cullet, as well as evaluating the efficient use of surplus natural raw materials, such as quartz sand, and allowing for on this basis, adjusting the supply

Eeg332

Generosity

https://doi.org/10.1007/978-3-663-05128-2lopment of projection of digital twin mostly designated for further simulation and training purposes but also applicable to be used for advanced calculations of different operation modes, heat, and material balances. Developed digital twin model is based on mathematical modeling of real processes, w

細(xì)微差別

Das anodische Verhalten von Palladium, of the rolling stock. The qualitative results of processing the experimental data of the distribution of the durations of emissions and the probabilities of the intervals between adjacent emissions of the resistance of the train shunt are presented. It is shown that they quantitatively characterize

conifer

Mingle

調(diào)情

https://doi.org/10.1007/978-3-663-05130-5ical power (MP) of the new design of the Savonius wind turbine. Moreover, the accuracy of the proposed models is compared with the ARIMA model and Multiple Linear Regression (MLR). In this study, the empirical models were developed to predict the mechanical power based on the various design paramete