Registro de programa de computador

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/9

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2021 - 20252

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Data inicial: 2021Assunto: search.filters.subject.Eficiência Energética

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Agora exibindo 1 - 2 de 2
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    Aplicação de Inteligência Artificial para Previsões e Ajustes de Fator de Potência (FP) por Fase
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) ALMEIDA, Anderson Alexandre Silva de; LEITE, Jandecy Cabral
    This document certifies the registration of the software entitled "Application of Artificial Intelligence for Predictions and Adjustments of Power Factor (PF) by Phase." Developed in Python, the program leverages artificial intelligence techniques to accurately predict and adjust the power factor of electrical systems. The solution aims to optimize the energy performance of three-phase systems, reducing losses and promoting greater operational efficiency.
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    Modelo Híbrido com Redes Neurais Artificiais e Algoritmos Evolucionários para Otimização do Consumo de Combustível em Embarcações que Utilizam Motor de Combustão Interna a Diesel
    (Instituto Nacional da Propriedade Industrial (INPI), 2021-07-27) SIQUEIRA JUNIOR, Paulo Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
    This document describes a computer program registered under number BR512023001328-5, which presents a hybrid model combining artificial neural networks and evolutionary algorithms. The objective of the program is to optimize fuel consumption on vessels that use diesel internal combustion engines. The hybrid approach allows to improve energy efficiency and reduce operational costs, being especially relevant for the naval sector. The program uses advanced artificial intelligence and optimization techniques, providing a powerful tool for marine engineers and operators seeking sustainable and efficient solutions. Program registration is valid for 50 years from January 1, 2022.