Forecasting planned electricity consumption for the united power system using machine learning

Forecasting planned electricity consumption for the united power system using machine learning

The paper presents the results of studies of the predictive models development based on retrospective data on planned electricity consumption in the region with a significant share of enterprises in the mineral resource complex. Since the energy intensity of the industry remains quite high, the task...

Full description

Bibliographic Details
Main Authors: Roman V. Klyuev, Angelika D. Morgoeva, Oksana A. Gavrina, Igor I. Bosikov, Irbek D. Morgoev
Format: Article
Language:English
Published: Saint-Petersburg Mining University 2023-07-01
Series:Записки Горного института
Subjects:
electricity power consumption
forecasting
gradient boosting
artificial neural network
machine learning
Online Access:https://pmi.spmi.ru/index.php/pmi/article/view/16185?setLocale=en_US

Internet

https://pmi.spmi.ru/index.php/pmi/article/view/16185?setLocale=en_US

Similar Items