Prediction of the power shortage in the electric power system by means of regression analysis by machine learning methods
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 planning tasks. To this end, the evaluation of the le...
Main Authors: | Boyarkin D.A., Krupenev D.S., Iakubobsky D.V. |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2019-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/40/e3sconf_esr2019_03003.pdf |
Similar Items
-
Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems
by: Iakubovskii D.V., et al.
Published: (2019-01-01) -
A model for power shortage minimization in electric power systems given constraints on controlled sections
by: Dmitrii Iakubovskii, et al.
Published: (2021-11-01) -
Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients)
by: Krupenev Dmitry, et al.
Published: (2020-01-01) -
Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems
by: Iakubovskii Dmitrii, et al.
Published: (2020-01-01) -
Factoring in scheduled repairs of generating units when assessing the resource adequacy of electric power systems
by: Krupenev Dmitry, et al.
Published: (2019-01-01)