| Autor: |
André Pedretti, Mariana Santini, Josnei Scolimoski, Mauro Henrique Brito de Queiroz, Frank Toshioka, Eloy de Paula Rocha Junior, Nelson de Pauli Júnior, Marcio Takashi Yomura, Clayton Hilgemberg da Costa, Fabio Alessandro Guerra, Bruna Machado Mulinari, Flavio Lori Grando, Joceleide Dalla Costa Mumbelli, Cláudio Inácio Almeida Costa, Germano Lambert Torres, Milton Pires Ramos |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Brazilian Archives of Biology and Technology, Vol 64, Iss spe (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1678-4324 |
| DOI: |
10.1590/1678-4324-75years-2021210217 |
| Popis: |
Abstract Robotic Process Automation (RPA) is one of the several important techniques currently available for companies in search of performance improvement. The step forward in RPA is its association with Artificial Intelligence for more skilled robots. This scenario is not different in Power Distribution Utilities, in which a multitude of complex processes must be executed over different data sources. Making such situation even more complex, these processes are frequently regulated and subject to audit by external bodies. However, an old question remains: what should be robotized and what should be done by humans? This paper aims at partially answering the question in the context of data analysis tasks used for making decisions in complex processes. The research development is conducted based on an Artificial Intelligence methodology incorporated into one software robot (RPA) which acquires data automatically, treats and analyzes these data, helping the human professional take decisions in the process. It is applied to a real case process that is important for validating the research. Four approaches are tested in the data analysis, but only two are really used. The robot analyzes a series of information from an energy consumption meter. The detection of possible behavior deviations in the meter data is made by comparison with its data series. The robot is capable of prioritizing the detected occurrences in the energy consumption data, indicating to the human operator the most critical situations that require attention. The association of Artificial Intelligence and RPA is viable and can really apport important benefits to the company and teams, valuing human work and bringing more efficiency to the processes. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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