Climate data interpolation for energy consumption prediction
Climate data interpolation for energy consumption prediction
Author(s): Latchezar Tomov, Slav AngelovSubject(s): Social Sciences, Education, Library and Information Science, Information Architecture, Electronic information storage and retrieval, Education and training, Other, Higher Education
Published by: Нов български университет
Keywords: Modeling; statistics; inverse distance weighting; electricity consumption
Summary/Abstract: We address the problem of preparing and interpolating regional climate data in order to get proper nationallevel data for statistical modeling of the dependency of electrical energy consumption. We use data from the energy system operator and national statistics institute for electrical energy consumption and demographics for the purpose.
Journal: Computer Science and Education in Computer Science
- Issue Year: 16/2020
- Issue No: 1
- Page Range: 38-43
- Page Count: 6
- Language: English
