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Análise de incidentes em redes de distribuição de energia: uma abordagem com Power BI
| Name: | Description: | Size: | Format: | |
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| 1.31 MB | Adobe PDF |
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Abstract(s)
A análise de ocorrências e indicadores de qualidade de serviço na rede de distribuição energética é fundamental para garantir a eficiência e a confiabilidade do fornecimento de energia elétrica. Este estudo aborda os principais desafios enfrentados nesse processo, incluindo a recolha e integração de dados de diversas fontes, a identificação e classificação de falhas, e a implementação de técnicas avançadas de análise de dados. Além disso, são discutidas as dificuldades na manutenção da qualidade do serviço em face de eventos imprevistos, como desastres naturais e sobrecargas na rede. A pesquisa também explora o uso de ferramentas de Business Intelligence, com ênfase no Power BI, para melhorar a visualização e interpretação dos dados, facilitando a tomada de decisões estratégicas.
Com base na metodologia de Investigação-Ação, o estudo abordou as lacunas dos sistemas convencionais de forma colaborativa e iterativa, desenvolvendo um dashboard que aplica técnicas avançadas de transformação e validação de dados, no âmbito da gestão de incidentes, garantindo consistência e qualidade. O modelo criado permitiu a geração de indicadores chave, criados a partir dos principais indicadores de qualidade de serviço em comparação com o padrão definido pela Entidade Reguladora dos Serviços Energéticos. A ferramenta foi concebida para apresentar dados consolidados de forma visualmente intuitiva, proporcionando ao utilizador uma visão abrangente e detalhada.
O dashboard desenvolvido visa ser eficaz na promoção da transparência, na agilidade da tomada de decisões e na modernização da gestão de incidentes nas redes de distribuição de energia, respondendo às exigências contemporâneas. Este estudo contribui para o avanço das práticas de gestão operacional no setor de energia, destacando o potencial do Power BI como uma solução transformadora que pode ser replicada noutros contextos da distribuição energética.
The analysis of occurrences and service quality indicators in the energy distribution network is fundamental to ensuring the efficiency and reliability of electricity supply. This study addresses the main challenges faced in this process, including the collection and integration of data from various sources, the identification and classification of failures, and the implementation of advanced data analysis techniques. Additionally, the difficulties in maintaining service quality in the face of unforeseen events, such as natural disasters and network overloads, are discussed. The research also explores the use of Business Intelligence tools, with an emphasis on Power BI, to improve data visualization and interpretation, facilitating strategic decision-making. Based on the Action Research methodology, the study addressed the gaps in conventional systems in a collaborative and iterative manner, developing a dashboard that applies advanced data transformation and validation techniques in the context of incident management, ensuring consistency and quality. The created model allowed the generation of key indicators, created from the main service quality indicators compared to the standard defined by the Energy Services Regulatory Authority. The tool was designed to present consolidated data in a visually intuitive manner, providing the user with a comprehensive and detailed view. The developed dashboard aims to be effective in promoting transparency, agility in decision-making, and modernization of incident management in energy distribution networks, meeting contemporary demands. This study contributes to the advancement of operational management practices in the energy sector, highlighting the potential of Power BI as a transformative solution that can be replicated in other contexts of energy distribution.
The analysis of occurrences and service quality indicators in the energy distribution network is fundamental to ensuring the efficiency and reliability of electricity supply. This study addresses the main challenges faced in this process, including the collection and integration of data from various sources, the identification and classification of failures, and the implementation of advanced data analysis techniques. Additionally, the difficulties in maintaining service quality in the face of unforeseen events, such as natural disasters and network overloads, are discussed. The research also explores the use of Business Intelligence tools, with an emphasis on Power BI, to improve data visualization and interpretation, facilitating strategic decision-making. Based on the Action Research methodology, the study addressed the gaps in conventional systems in a collaborative and iterative manner, developing a dashboard that applies advanced data transformation and validation techniques in the context of incident management, ensuring consistency and quality. The created model allowed the generation of key indicators, created from the main service quality indicators compared to the standard defined by the Energy Services Regulatory Authority. The tool was designed to present consolidated data in a visually intuitive manner, providing the user with a comprehensive and detailed view. The developed dashboard aims to be effective in promoting transparency, agility in decision-making, and modernization of incident management in energy distribution networks, meeting contemporary demands. This study contributes to the advancement of operational management practices in the energy sector, highlighting the potential of Power BI as a transformative solution that can be replicated in other contexts of energy distribution.
Description
Tese de Mestrado em Informação e Sistemas Empresariais, em associação com o Instituto Superior Técnico, apresentada à Universidade Aberta
Keywords
Análise de ocorrências Indicadores de qualidade de serviço Rede de distribuição energética Business Intelligence Microsoft Power BI Occurrence analysis Service quality indicators Energy distribution network Power BI
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CC License
Without CC licence