Listar por autor "Rodríguez-Gómez, Francisco"
Mostrando ítems 1-6 de 6
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A novel clustering based method for characterizing household electricity consumption profiles
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José
; Mora-López, Llanos (Elsevier, 2023-12-12)
A new methodology based on expert knowledge and data mining is proposed to obtain data-driven models that characterize household consumption profiles. These profiles are useful for electricity marketers to understand their ... -
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 (Elsevier, 2022-10-01)
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 ... -
Detection of unfavourable urban areas with higher temperatures and lack of green spaces using satellite imagery in sixteen Spanish cities
Rodríguez-Gómez, Francisco; Fernández Cañero, Rafael; Pérez, Gabriel; Del-Campo-Ávila, José; López-Rodríguez, Domingo; Pérez-Urrestarazu, Luis[et al.] (Elsevier, 2022-12)
This paper seeks to identify the most unfavourable areas of a city in terms of high temperatures and the absence of green infrastructure. An automatic methodology based on remote sensing and data analysis has been developed ... -
Minería de datos para la sostenibilidad urbana
(UMA Editorial, 2023-06)El principal objetivo de este trabajo de investigación es el uso de la minería de datos, la inteligencia artificial, y el conocimiento de los expertos para la mejora de la sostenibilidad urbana. Se han propuesto una serie ... -
URSUS_LST: URban SUStainability intelligent system for predicting the impact of urban green infrastructure on land surface temperatures
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José; Pérez-Urrestarazu, Luis; López-Rodríguez, Domingo (Elsevier, 2025)
Mitigating Urban Heat Island (UHI) effects has become a challenge to improve urban sustainability. The simulation tool URSUS_LST has been developed to allow urban planners to estimate how the addition of different green ... -
URSUS_UHI: URban SUStainability software for detection of unfavourable areas due to the Urban Heat Island effect
Rodríguez-Gómez, Francisco; Del-Campo-Ávila, José; López-Rodríguez, Domingo; Pérez-Urrestarazu, Luis (Elsevier, 2025)
Identifying the most unfavourable areas of cities, in terms of high temperatures and lack of vegetation, can help to improve urban sustainability and combat climate change. URSUS_UHI is a software that could help make ...