Jeanty, Patrick

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  • Jeanty, Patrick (1)
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Author's Bibliography

Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France)

Mihailović, Dragutin T.; Bessafi, Miloud; Marković, Sara; Arsenić, Ilija; Malinović-Milićević, Slavica; Jeanty, Patrick; Delsaut, Mathieu; Chabriat, Jean-Pierre; Drešković, Nusret; Mihailović, Anja

(Switzerland, Basel : MDPI, 2018)

TY  - JOUR
AU  - Mihailović, Dragutin T.
AU  - Bessafi, Miloud
AU  - Marković, Sara
AU  - Arsenić, Ilija
AU  - Malinović-Milićević, Slavica
AU  - Jeanty, Patrick
AU  - Delsaut, Mathieu
AU  - Chabriat, Jean-Pierre
AU  - Drešković, Nusret
AU  - Mihailović, Anja
PY  - 2018
UR  - https://dais.sanu.ac.rs/123456789/13301
AB  - Analysis of daily solar irradiation variability and predictability in space and time is important for energy resources planning, development, and management. The natural variability of solar irradiation is being complicated by atmospheric conditions (in particular cloudiness) and orography, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the years 2013, 2014 and 2015 at
11 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use a set of novel quantitative tools: Kolmogorov complexity (KC) with its derivative associated measures and Hamming distance (HAM) and their combination to assess complexity and corresponding predictability. We find that all half-day (from sunrise to sunset) solar irradiation series exhibit high complexity. However, all of them can be classified into three groups strongly influenced by trade winds that circulate in a “flow around” regime: the windward side (trade winds slow down), the leeward side (diurnal thermally-induced circulations dominate) and the coast parallel to trade winds (winds are accelerated due to Venturi effect). We introduce Kolmogorov time (KT) that quantifies the time span beyond which randomness significantly influences predictability.
PB  - Switzerland, Basel : MDPI
T2  - Entropy
T1  - Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France)
VL  - 20
IS  - 570
DO  - 10.3390/e20080570
UR  - https://hdl.handle.net/21.15107/rcub_dais_13301
ER  - 
@article{
author = "Mihailović, Dragutin T. and Bessafi, Miloud and Marković, Sara and Arsenić, Ilija and Malinović-Milićević, Slavica and Jeanty, Patrick and Delsaut, Mathieu and Chabriat, Jean-Pierre and Drešković, Nusret and Mihailović, Anja",
year = "2018",
abstract = "Analysis of daily solar irradiation variability and predictability in space and time is important for energy resources planning, development, and management. The natural variability of solar irradiation is being complicated by atmospheric conditions (in particular cloudiness) and orography, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the years 2013, 2014 and 2015 at
11 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use a set of novel quantitative tools: Kolmogorov complexity (KC) with its derivative associated measures and Hamming distance (HAM) and their combination to assess complexity and corresponding predictability. We find that all half-day (from sunrise to sunset) solar irradiation series exhibit high complexity. However, all of them can be classified into three groups strongly influenced by trade winds that circulate in a “flow around” regime: the windward side (trade winds slow down), the leeward side (diurnal thermally-induced circulations dominate) and the coast parallel to trade winds (winds are accelerated due to Venturi effect). We introduce Kolmogorov time (KT) that quantifies the time span beyond which randomness significantly influences predictability.",
publisher = "Switzerland, Basel : MDPI",
journal = "Entropy",
title = "Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France)",
volume = "20",
number = "570",
doi = "10.3390/e20080570",
url = "https://hdl.handle.net/21.15107/rcub_dais_13301"
}
Mihailović, D. T., Bessafi, M., Marković, S., Arsenić, I., Malinović-Milićević, S., Jeanty, P., Delsaut, M., Chabriat, J., Drešković, N.,& Mihailović, A.. (2018). Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France). in Entropy
Switzerland, Basel : MDPI., 20(570).
https://doi.org/10.3390/e20080570
https://hdl.handle.net/21.15107/rcub_dais_13301
Mihailović DT, Bessafi M, Marković S, Arsenić I, Malinović-Milićević S, Jeanty P, Delsaut M, Chabriat J, Drešković N, Mihailović A. Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France). in Entropy. 2018;20(570).
doi:10.3390/e20080570
https://hdl.handle.net/21.15107/rcub_dais_13301 .
Mihailović, Dragutin T., Bessafi, Miloud, Marković, Sara, Arsenić, Ilija, Malinović-Milićević, Slavica, Jeanty, Patrick, Delsaut, Mathieu, Chabriat, Jean-Pierre, Drešković, Nusret, Mihailović, Anja, "Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France)" in Entropy, 20, no. 570 (2018),
https://doi.org/10.3390/e20080570 .,
https://hdl.handle.net/21.15107/rcub_dais_13301 .
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