Abstract
Currently, the world experiences the Information Age, where people and institutions are highly connected and leave digital footprints. This huge volume of data, which for the most part is unstructured, holds valuable information. However, the value is not in the data itself, but in the possibility of simulating complex scenarios through multi-agent systems. These systems use the concept of agents, which are programs that interact with each other and with the environment, satisfying a set of previously determined rules. The present article aims to develop a way to simulate decision-making on the adoption of domestic solar systems in Brazil based on the unstructured collection data. Since this premise, Web Scraping was performed to elicit realistic indicators to model and simulate scenarios using the NetLogo software. The results showed that the increase in the installation of domestic solar systems is a consequence of the visibility of the benefits provided within a radius of influence. It is also observed that the boost in the neighborhood threshold leads to an exponential growth in installations of this technology.
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Neves, J.E.D., Pedro, P.S.M., de Freitas Gomes Hernandez, M., Junior, L.A.F. (2023). Simulation of the Implementation of Domestic Solar Systems Using Multi-agent Systems from Web Scraping. In: Iano, Y., Saotome, O., Kemper Vásquez, G.L., Cotrim Pezzuto, C., Arthur, R., Gomes de Oliveira, G. (eds) Proceedings of the 7th Brazilian Technology Symposium (BTSym’21). BTSym 2021. Smart Innovation, Systems and Technologies, vol 207. Springer, Cham. https://doi.org/10.1007/978-3-031-04435-9_8
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DOI: https://doi.org/10.1007/978-3-031-04435-9_8
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