Analysis of Solar Irradiation Time Series Complexity and Predictability by Combining Kolmogorov Measures and Hamming Distance for La Reunion (France)
Аутори
Mihailović, Dragutin T.Bessafi, Miloud
Marković, Sara
Arsenić, Ilija
Malinović-Milićević, Slavica
Jeanty, Patrick
Delsaut, Mathieu
Chabriat, Jean-Pierre
Drešković, Nusret
Mihailović, Anja
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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 aroun...d” 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.
Кључне речи:
solar irradiation at La Reunion / Hamming distance / Hamming distance / solar power / Kolmogorov time / solar irradiation predictabilityИзвор:
Entropy, 2018, 20, 570Издавач:
- Switzerland, Basel : MDPI
Финансирање / пројекти:
- Истраживање климатских промена и њиховог утицаја на животну средину - праћење утицаја, адаптација и ублажавање (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-43007)
Институција/група
Географски институт „Јован Цвијић“ САНУ / Geographical Institute Jovan Cvijić SASATY - 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 .