{"id":396,"date":"2014-12-16T11:57:26","date_gmt":"2014-12-16T10:57:26","guid":{"rendered":"http:\/\/blog.uclm.es\/juanramontrapero\/?p=396"},"modified":"2014-12-16T11:57:26","modified_gmt":"2014-12-16T10:57:26","slug":"short-term-solar-irradiation-forecasting-based-on-dynamic-harmonic-regression","status":"publish","type":"post","link":"https:\/\/blog.uclm.es\/juanramontrapero\/2014\/12\/16\/short-term-solar-irradiation-forecasting-based-on-dynamic-harmonic-regression\/","title":{"rendered":"Short-term Solar Irradiation forecasting based on Dynamic Harmonic Regression"},"content":{"rendered":"<p>I am pleased to devote a few words to the new working paper that we (Alberto Mart\u00edn, Nikos Kourentzes and myself) have elaborated with the collaboration of the ISFOC that kindly provided the research data.<\/p>\n<p>The paper reports the Dynamic Harmonic Regression applied to forecast the solar irradiance at short-term, but, why is this important? Generally speaking, solar power generation is a crucial research area for countries that suffers from high dependency on external energy sources and is gaining prominence with the current shift to renewable sources of energy (This is particularly true for Spain) . In order to integrate this generated energy into the grid, solar irradiation must be forecasted, where deviations of the forecasted value involve significant costs. It should be noted that the need for these forecasts are also\u00a0required for other renewable resources as the wind.<\/p>\n<p><a href=\"https:\/\/blog.uclm.es\/juanramontrapero\/wp-content\/uploads\/sites\/220\/2014\/12\/prediccion-DNI.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-536\" src=\"https:\/\/blog.uclm.es\/juanramontrapero\/wp-content\/uploads\/sites\/220\/2014\/12\/prediccion-DNI-300x225.png\" alt=\"predicci\u00f3n DNI\" width=\"300\" height=\"225\" srcset=\"https:\/\/blog.uclm.es\/juanramontrapero\/wp-content\/uploads\/sites\/220\/2014\/12\/prediccion-DNI-300x225.png 300w, https:\/\/blog.uclm.es\/juanramontrapero\/wp-content\/uploads\/sites\/220\/2014\/12\/prediccion-DNI.png 769w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><em>Ejemplo de predicci\u00f3n con el m\u00e9todo DHR (l\u00ednea discontinua) frente a los datos reales de irradiaci\u00f3n solar directa o DNI (l\u00ednea continua)<\/em><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>In this working-paper we propose a univarivate Dynamic Harmonic Regression model set up in a State Space framework for short-term (1 to 24 hours) solar irradiation forecasting (take a look at the other blog post that we use the same technique to forecast electricity load and prices).\u00a0 Time series hourly aggregated as the Global Horizontal Irradiation and the Direct Normal Irradiation will be used to illustrate the proposed approach.<!--more--><\/p>\n<p>This method provides a fast automatic identification and estimation procedure based on the frequency domain. The recursive algorithms applied offer adaptive predictions and, since the method is based on unobserved components models, explicit information about trend, seasonal and irregular behaviour of the series can be extracted. The good forecasting performance and the rapid adaptability of the model to fast transient conditions of solar radiation are illustrated with minutely solar irradiance measurements collected from ground-based weather stations located in Spain.<\/p>\n<p><a href=\"https:\/\/blog.uclm.es\/juanramontrapero\/wp-content\/uploads\/sites\/220\/2014\/12\/prediccionGHI.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-537\" src=\"https:\/\/blog.uclm.es\/juanramontrapero\/wp-content\/uploads\/sites\/220\/2014\/12\/prediccionGHI-300x225.jpg\" alt=\"prediccionGHI\" width=\"300\" height=\"225\" srcset=\"https:\/\/blog.uclm.es\/juanramontrapero\/wp-content\/uploads\/sites\/220\/2014\/12\/prediccionGHI-300x225.jpg 300w, https:\/\/blog.uclm.es\/juanramontrapero\/wp-content\/uploads\/sites\/220\/2014\/12\/prediccionGHI.jpg 769w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><em>Ejemplo de predicci\u00f3n con el m\u00e9todo DHR (l\u00ednea discontinua) frente a los datos reales de irradiaci\u00f3n solar global o GHI (l\u00ednea continua)<\/em><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>If you are interested in this work,<a title=\"solar energy forecasting DHR\" href=\"https:\/\/www.researchgate.net\/publication\/269628784_Short-term_Solar_Irradiation_forecasting_based_on_Dynamic_Harmonic_Regression\" target=\"_blank\" rel=\"noopener\"> please click here to download it.<\/a>\u00a0(it is freely available in researchgate)<\/p>\n<p>For further information please contact me by e-mail.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I am pleased to devote a few words to the new working paper that we (Alberto Mart\u00edn, Nikos Kourentzes and myself) have elaborated with the collaboration of the ISFOC that kindly provided the research data. The paper reports the Dynamic Harmonic Regression applied to forecast the solar irradiance at short-term, but, why is this important? [&hellip;]<\/p>\n","protected":false},"author":345,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37],"tags":[15,38,39],"class_list":["post-396","post","type-post","status-publish","format-standard","hentry","category-sistemas-de-prediccion-de-energia","tag-forecasting-2","tag-solar-irradiance","tag-solar-irradiation"],"_links":{"self":[{"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/posts\/396","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/users\/345"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/comments?post=396"}],"version-history":[{"count":0,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/posts\/396\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/media?parent=396"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/categories?post=396"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.uclm.es\/juanramontrapero\/wp-json\/wp\/v2\/tags?post=396"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}