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We introduce DL, a deep learning approach based on feed\u2010forward neural networks for big data time series, which decomposes the forecasting problem into several sub\u2010problems. We conduct a comprehensive evaluation using 2\u00a0years of Australian solar data, evaluating accuracy and training time, and comparing the performance of DL with two other advanced methods based on neural networks and pattern sequence similarity. We investigate the use of multiple data sources (solar power and weather data for the previous days, and weather forecast for the next day) and also study the effect of different historical window sizes. The results show that DL produces competitive accuracy results and scales well, and is thus a highly suitable method for big data environments.<\/jats:p>","DOI":"10.1111\/exsy.12394","type":"journal-article","created":{"date-parts":[[2019,3,28]],"date-time":"2019-03-28T09:27:46Z","timestamp":1553765266000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Big data solar power forecasting based on deep learning and multiple data sources"],"prefix":"10.1111","volume":"36","author":[{"given":"Jos\u00e9 F.","family":"Torres","sequence":"first","affiliation":[{"name":"Data Science and Big Data Lab Universidad Pablo de Olavide  ES\u201041013 Seville Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9801-7999","authenticated-orcid":false,"given":"Alicia","family":"Troncoso","sequence":"additional","affiliation":[{"name":"Data Science and Big Data Lab Universidad Pablo de Olavide  ES\u201041013 Seville Spain"}]},{"given":"Irena","family":"Koprinska","sequence":"additional","affiliation":[{"name":"School of Computer Science University of Sydney  Sydney Australia"}]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science University of Sydney  Sydney Australia"}]},{"given":"Francisco","family":"Mart\u00ednez\u2010\u00c1lvarez","sequence":"additional","affiliation":[{"name":"Data Science and Big Data Lab Universidad Pablo de Olavide  ES\u201041013 Seville Spain"}]}],"member":"311","published-online":{"date-parts":[[2019,3,28]]},"reference":[{"key":"e_1_2_8_2_1","first-page":"1","article-title":"Accurate photovoltaic power forecasting models using deep LSTM\u2010RNN","author":"Abdel\u2010Nasser M.","year":"2017","journal-title":"Neural Computing and Applications"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.09.045"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.10.068"},{"key":"e_1_2_8_5_1","unstructured":"Binkowski M. 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