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Comparative Analysis of Methods for Hourly Electricity Demand Forecasting in the Absence of Data – A Case Study Cover

Comparative Analysis of Methods for Hourly Electricity Demand Forecasting in the Absence of Data – A Case Study

Economic and Regional Studies / Studia Ekonomiczne i Regionalne
Volume 16 (2023): Issue 1 (March 2023)
By: Jan Zawadzki  
Open Access
|Mar 2023

Authors

Jan Zawadzki

jzawadzki@zut.edu.pl

Faculty of Economics, Department of Applications of Mathematics in Economics Professor emeritus, West Pomeranian University of Technology in Szczecin, Poland
DOI: https://doi.org/10.2478/ers-2023-0003 | Journal eISSN: 2451-182X | Journal ISSN: 2083-3725
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Language: English
Page range: 34 - 50
Submitted on: Nov 1, 2022
|
Accepted on: Jan 1, 2023
|
Published on: Mar 31, 2023
Published by: John Paul II University of Applied Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
forecasting,
missing data,
time series,
high frequency
Related subjects:
Business and economics,
Political economics,
Political economics, other,
Business management,
Business management, other,
Geosciences,
Geography,
Social sciences,
Political science,
Local government and administration

© 2023 Jan Zawadzki, published by John Paul II University of Applied Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.

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