Sistema de Mapeamento da Qualidade do Ar

Erbs, Vicente Knihs; Silva, Wyllian Bezerra da

doi:10.29327/142529.2-5

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Sao Paulo is the most populous state of Brazil and the largest in terms of economic and industrial aspects. It has high rates of atmospheric pollutant concentrations and greenhouse gases emissions [83,84]. As shown in Figure 3A, between the years 2000 and 2018, the GDP of Sao Paulo state showed evident growth until 2011, remaining above USD 780 billion until 2014, and since then has suffered annual retractions due to the advance of the Brazilian economic crisis [85], reaching the value of USD 603 billion in 2018.…”

Section: Descriptive Analysis and Multivariate Linear Regression Modelsmentioning

confidence: 99%

Modeling Carbon Release of Brazilian Highest Economic Pole and Major Urban Emitter: Comparing Classical Methods and Artificial Neural Networks

Debone

Martins

Miraglia

2022

Climate

View full text Add to dashboard Cite

Despite the concern about climate change and the associated negative impacts, fossil fuels continue to prevail in the global energy consumption. This paper aimed to propose the first model that relates CO2 emissions of Sao Paulo, the main urban center emitter in Brazil, with gross national product and energy consumption. Thus, we investigated the accuracy of three different methods: multivariate linear regression, elastic-net regression, and multilayer perceptron artificial neural networks. Comparing the results, we clearly demonstrated the superiority of artificial neural networks when compared with the other models. They presented better results of mean absolute percentage error (MAPE = 0.76%) and the highest possible coefficient of determination (R2 = 1.00). This investigation provides an innovative integrated climate-economic approach for the accurate prediction of carbon emissions. Therefore, it can be considered as a potential valuable decision-support tool for policymakers to design and implement effective environmental policies.

show abstract

Section: Descriptive Analysis and Multivariate Linear Regression Modelsmentioning

confidence: 99%

Modeling Carbon Release of Brazilian Highest Economic Pole and Major Urban Emitter: Comparing Classical Methods and Artificial Neural Networks

Debone

Martins

Miraglia

2022

Climate

View full text Add to dashboard Cite

show abstract

“…• Os dados meteorológicos mencionados acima (Temperatura, Umidade Relativa, Irradiância Global Horizontal e Velocidade do Vento) são armazenados em uma resolução de tempo de 10 minutos (CETESB, 2021;MACHADO;BARBOSA, 2021). O conjunto de dados armazenado foi fundamental para a avaliação do desempenho do sistema fotovoltaico estudado.…”

Section: Base De Dadosunclassified

Estudo De Performance De Sistema Fotovoltaico Operando Na Baixada Santista

Gonzalez,

Martins,

Costa

2022

Anais Congresso Brasileiro De Energia Solar - CBENS

View full text Add to dashboard Cite

A metodologia envolveu a aquisição de dados meteorológicos ambientais e de dados de operação do sistema FV estudado; e a utilização de ferramentas computacionais para a simulação de operação e para a avaliação dos indicadores de desempenho do sistema FV estudado. Os parâmetros de desempenho mostraram valores superiores ou similares aos de outros sistemas operados em cidades não costeiras brasileiras e em cidades costeiras no exterior. Por fim, o sistema FV mostrou desempenho superior ao simulado pela ferramenta SOLergo no que se refere à energia gerada, provavelmente em razão da influência de variáveis ambientais locais não consideradas nas simulações numéricas.

show abstract

Sistema de Mapeamento da Qualidade do Ar

Cited by 2 publications

References 0 publications

Modeling Carbon Release of Brazilian Highest Economic Pole and Major Urban Emitter: Comparing Classical Methods and Artificial Neural Networks

Modeling Carbon Release of Brazilian Highest Economic Pole and Major Urban Emitter: Comparing Classical Methods and Artificial Neural Networks

Estudo De Performance De Sistema Fotovoltaico Operando Na Baixada Santista

Contact Info

Product

Resources

About