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oai:riuma.uma.es:10630/244982026-02-03T11:23:30Zcom_10630_2254col_10630_37953

Data driven tools to assess the location of photovoltaic facilities in urban areas Rodríguez-Gómez, Francisco Del-Campo-Ávila, José Ferrer Cuesta, Marta Mora-López, Llanos Recursos energéticos renovables Urban sustainability is a significant factor in combating climate change. Replacing polluting by renewable energies is fundamental to reduce the emission of greenhouse gases. Photovoltaic (PV) facilities harnessing solar energy, and particularly self-consumption PV facilities, can be widely used in cities throughout most countries. Therefore, locating spaces where photovoltaic installations can be integrated into urban areas is essential to reduce climate change and improve urban sustainability. An open-source software (URSUS-PV) to aid decision-making regarding possible optimal locations for photovoltaic panel installations in cities is presented in this paper. URSUS-PV is the result of a data mining process, and it can extract the characteristics of the roofs (orientation, inclination, latitude, longitude, area) in the urban areas of interest. By combining this information with meteorological data and characteristics of the photovoltaic systems, the system can predict both the next-day hourly photovoltaic energy production and the long-term photovoltaic daily average energy production. 2022-06-27T10:44:07Z 2022-06-27T10:44:07Z 2022-06-27T10:44:07Z 2022-10-01 journal article Francisco Rodríguez-Gómez, José del Campo-Ávila, Marta Ferrer-Cuesta, Llanos Mora-López, Data driven tools to assess the location of photovoltaic facilities in urban areas, Expert Systems with Applications, Volume 203, 2022, 117349, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2022.117349. https://hdl.handle.net/10630/24498 https://doi.org/10.1016/j.eswa.2022.117349 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional Elsevier