descriptionPublicationkeyboard_double_arrow_right Article , Conference object 26 Oct 2021Publisher:ACMJournal:Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)

Authors: Fakhraian, Elham; Alier Forment, Marc;

doi: 10.1145/3486011.3486546

handle: 2117/360825

Potential Determination of Urban Rooftop Photovoltaics

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Abstract

Solar energy is one of the most promising sustainable energy, and urban environments can be considered high-potential energy producers by producing electricity from rooftop-mounted photovoltaic systems. Electricity production from solar energy and the needed parameters to define the optimal locations require an adequate study; however, effective guidelines for optimal installation of solar photovoltaics remain a challenge. This thesis aims to develop a uniform accurate multi-factor method that uses uniform open data sources to determine urban rooftop's photovoltaic potential.

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Keywords

:Informàtica::Intel·ligència artificial::Aprenentatge automàtic [Àrees temàtiques de la UPC], :Energies::Energia solar fotovoltaica [Àrees temàtiques de la UPC], Instal·lacions fotovoltaiques, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, GIS, Renewable energy sources, LIDAR, Solar photovoltaics, Photovoltaic power systems, Machine learning, Rooftop photovoltaic potential, Aprenentatge automàtic, Energies renovables, Urban solar potential, Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica

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