IEEE VIS 2024 Content: Renewable Energy Data Visualization: A study with Open Data

Renewable Energy Data Visualization: A study with Open Data

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Gustavo Santos Silva - Faculdade Nova Roma, Recife, Brazil

 Artur Vinícius Lima Silva - Faculdade Nova Roma, Recife, Brazil

 Lucas Pereira Souza - Faculdade Nova Roma, Recife, Brazil

 Adrian Lauzid - Faculdade Nova Roma, Recife, Brazil

 Davi Maia - Universidade Federal de Pernambuco, Recife, Brazil

 Room: Esplanade Suites I + II + III

2024-10-14T16:00:00ZGMT-0600Change your timezone on the schedule page
2024-10-14T16:00:00Z

Exemplar figure, described by caption below — This study uses Python and open data from Kaggle to visualize renewable energy generation and fossil fuel consumption from 2000-2020 across diverse nations. The research reveals global trends, disparities in energy access, and the role of data in driving sustainable energy solutions. Our findings contribute to shaping energy policy and decision-making for a more sustainable future.

Abstract

This study explores energy issues across various nations, focusing on sustainable energy availability and accessibility. Representatives from all continents were selected based on their HDI values. Data from Kaggle, spanning 2000-2020, was analyzed using Python to address questions on electricity access, renewable energy generation, and fossil fuel consumption. The research employed statistical and data visualization techniques to reveal trends and disparities. Findings underscore the importance of Python and Kaggle in data analysis. The study suggests expanding datasets and incorporating predictive modeling for future research to enhance understanding and decision-making in energy policies.