Modernization of the method for predicting energy consumption of minigrid load nodes by using extrapolation of the trend line obtained using wavelet transformation of the electrical load graph

Subject of research: methods for predicting electrical load schedules. Purpose of research: improvement of the forecasting method for assessing the growth of minigrid energy consumption. Methods and objects of research: elements of the theory of wavelet transform of time series, approximation methods were adopted as a research method. Main results of research: as a result of the study, the method for predicting the load power of an isolated low-power electrical system (minigrid) was modernized; as an element of modernization, the use of wavelet transforms for filtering the high-frequency component of the power consumption graph is proposed. The paper also discusses the basic principles of operation of wavelet transforms, their advantages and possibilities of application in forecasting problems, and also provides an example of the successful use of this method.

Authors

Publication Details

Journal
Yugra State University Bulletin
Published
2024-08-16
DOI
https://doi.org/10.18822/byusu202304169-175
Primary Topic
Industrial Engineering and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modernization of the method for predicting energy consumption of minigrid load nodes by using extrapolation of the trend line obtained using wavelet transformation of the electrical load graph

Д. С. Осипов, Vsevolod A. Tkachenko
Yugra State University Bulletin
Industrial Engineering and Technologies
article

Modernization of the method for predicting energy consumption of minigrid load nodes by using extrapolation of the trend line obtained using wavelet transformation of the electrical load graph

Д. С. Осипов, Vsevolod A. Tkachenko
article en

Abstract

Subject of research: methods for predicting electrical load schedules. Purpose of research: improvement of the forecasting method for assessing the growth of minigrid energy consumption. Methods and objects of research: elements of the theory of wavelet transform of time series, approximation methods were adopted as a research method. Main results of research: as a result of the study, the method for predicting the load power of an isolated low-power electrical system (minigrid) was modernized; as an element of modernization, the use of wavelet transforms for filtering the high-frequency component of the power consumption graph is proposed. The paper also discusses the basic principles of operation of wavelet transforms, their advantages and possibilities of application in forecasting problems, and also provides an example of the successful use of this method.

Yugra State University Bulletin(4)
Affordable and clean energy
Openalex Percentile: Top 87%
Industrial Engineering and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modernization of the method for predicting energy consumption of minigrid load nodes by using extrapolation of the trend line obtained using wavelet transformation of the electrical load graph — Д. С. Осипов, Vsevolod A. Tkachenko · Yugra State University Bulletin (2024) | TGRS Research Map | TGRS