Power Generation in Goiás: Infrastructure Limitations and Opportunities for Distributed Generation

Autores

  • Saymon Fonseca Santos Mendes
  • Getúlio Santiago dos Santos Júnior
  • Gustavo da Costa Vergara
  • Lina Paola Garces Negrete

DOI:

https://doi.org/10.5224/SP.2024.8153681

Palavras-chave:

Data Mining, Distributed Generation, Eletricity Generation, Energy Planning, PowerBI

Resumo

Data mining plays a crucial role in the analysis of energy data by enabling the extraction of valuable information from large and complex datasets. In the energy sector, this technique helps identify patterns, trends, and correlations that are not easily detectable through traditional methods. When combined with data visualization tools like PowerBI, it provides decision-makers with clear and actionable insights, facilitating strategic planning and operational efficiency. In the context of the energy transition, this article presents an analysis of data on installed generation capacity in the State of Goiás in Brazil. Data analysis revealed a clear trend in the adoption of distributed solar photovoltaic generation across most projects in the state and concluded that the southern and central regions possess the greatest potential for energy generation.

Publicado

2025-02-07