Boyarkin D.A., Krupenev D.S., Iakubobsky D.V. Prediction of the power shortage in the electric power system by means of regression analysis by machine learning methods // E3S Web of Conferences. Vol.114. ID: 03003. 2019. DOI: 10.1051/e3sconf/201911403003 Modern electricity consumers place increasingly high demands on the level of reliability of power supply and, correspondingly, the reliability of electric power systems (EPS). These requirements should be directly addressed in the EPS development...
Теги: decision trees , electric power systems , machine learning , number theory , random number generation , regression analysis , software reliability , support vector machines , electric power systems (eps) , macAlekseev A.V. Improving of the quality and reliability of water supply systems on the basis of modern information and computing technologies // E3S Web of Conferences. Vol.39. ID: 04003. 2018. DOI: 10.1051/e3sconf/20183904003 The article deals with the issues of increasing the reliability and quality of water supply systems operation on the basis of modern methods and software complexes for the analysis and development of hydraulic conditions. Against the backdrop of the analysis of the literature...
Теги: application programs , hydraulic equipment , pipelines , reliability analysis , software reliability , water quality , water supply , water supply systems , common information spaces , computing technology , da
