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Estimation of the energy contributions of a hydroelectric power station using space parameter exploration
Author(s) -
Fernando Mesa,
D M Devia,
Raydonal Ospina
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1672/1/012008
Subject(s) - aperiodic graph , hydroelectricity , chaotic , lyapunov exponent , computer science , constraint (computer aided design) , nonlinear system , control theory (sociology) , energy (signal processing) , mathematical optimization , statistical physics , mathematics , engineering , statistics , physics , artificial intelligence , geometry , electrical engineering , control (management) , combinatorics , quantum mechanics
From the study of nonlinear dynamics, the study of chaotic dynamics in deterministic systems has been developed. If a system is deterministic, its behavior would be easy to predict. However, there are systems in which their behavior seems to be unpredictable due to the complexity of the dynamics of the system, which is reflected in an aperiodic behavior. This article presents the application of parameter exploration techniques for the study of aperiodic deterministic systems using time constraint estimation through the calculation of the Lyapunov exponent in order to estimate future system values. This technique is developed on a part of the energy matrix of the Colombian system, especially with hydroelectric production.

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