{"id":27281,"date":"2024-01-08T21:08:35","date_gmt":"2024-01-08T20:08:35","guid":{"rendered":"https:\/\/transferencia.umh.es\/?p=27281"},"modified":"2026-10-07T10:09:17","modified_gmt":"2026-10-07T08:09:17","slug":"soluciones-big-data-a-partir-del-analisis-y-la-prediccion-meteorologica","status":"publish","type":"post","link":"https:\/\/transferencia.umh.es\/en\/2024\/01\/08\/soluciones-big-data-a-partir-del-analisis-y-la-prediccion-meteorologica\/","title":{"rendered":"Big Data Solutions Based on Weather Analysis and Prediction"},"content":{"rendered":"

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Big Data Solutions Based on Weather Analysis and Prediction<\/h1>\n

Use of predictive data analysis techniques for applications in which weather and atmospheric dynamics are key to decision-making. Prediction of renewable energy generation and anticipation of energy consumption. Prediction and analysis of severe weather events.<\/h2>\n<\/header>\n
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TECHNOLOGY DESCRIPTION<\/h3>\n
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Predictive analysis of meteorological\/atmospheric data is carried out using big data techniques to support more efficient business decision-making in environments that are sensitive to weather conditions, such as those related to energy resource management or risk management in the event of adverse phenomena.<\/p>\n

By handling highly heterogeneous databases and using both unsupervised methods and knowledge of atmospheric dynamics, the relevant variables to be used in predictive analysis are identified. This analysis, with forecasting horizons of less than three days, is based on different big data techniques: machine learning methods such as neural networks, as well as other techniques including a novel analogue-based procedure that we have developed, which combines large- and medium-scale atmospheric dynamics with local weather information from the locations of interest.<\/p>\n<\/div>\n<\/section>\n

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TECHNOLOGY APPLICATIONS<\/h3>\n
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Weather predictive analytics has a direct impact on the bottom line of various sectors:<\/p>\n