Fractal analysis for estimating electricity demand through the application of Hurst’s re-staging exponent

Autor:	D. M. Devia, R. Ospina, F. Mesa
Rok vydání:	2020
Předmět:	History Econometrics Exponent Electricity demand Fractal analysis Computer Science Applications Education Mathematics
Zdroj:	Journal of Physics: Conference Series. 1674:012007
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1674/1/012007
Popis:	This article presents a methodology for fractal analysis using the Hurst re-staging exponent for the generation prediction of a hydroelectric power plant. Which is an innovative technique to address this problem since literature usually performs it through classical and lately Bayesian statistical processes. The importance of the work implies amalgamation of concepts from fractal theory, chaos, phase space, delay time and Hurst exponent, necessary in the analysis that will determine an estimate of the future behavior of a chaotic series. Thus, the problem is addressed from the qualitative analysis through the theory of chaos.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cbc0a5b06ea52c6730ccff0281dd86f0 https://doi.org/10.1088/1742-6596/1674/1/012007 Zobrazit plný text záznamu