Forecasting of CO2 Emission According to data analysis
Özet
The effects of global warming are being felt more and more today. One of the most
important factors affecting global warming is carbon emission. Global warming and climate
change are the problems of the world and humanity that concern sectors such as industry,
commerce, and agriculture. The increasing amount of carbon in the world is due to many
reasons. Carbon emissions are also called greenhouse gas emissions. Since most of these gases
are based on carbon molecules, they are called carbon emissions. The purpose of this article is
to find important factors that affect carbon emissions and make predictions for the future. Many
reasons such as increasing population, increasing use of fossil fuel vehicles, increasing
industrialization in the world after the industrial revolution, waste materials and urbanization
affect carbon emissions. Carbon emission estimation is important to raise awareness between
states and the public and to learn about measures to be taken. Carbon emission measurements
can be made with sensors and devices with Internet of Things (IoT) systems. Regions, where
carbon emissions are high, can be determined by IoT. Real-time monitoring of carbon dioxide
emissions can be done with IoT systems. Each of the factors affecting carbon emission was
estimated to estimate. Factor estimates were used in the regression equation. In addition, we
aim to clarify the measures that can be taken for the factors used in the regression equation. In
the regression equation, forest areas, waste, the number of incoming tourists, the use of
renewable energy sources and the number of vehicles used have an important effect. In this
article, Moving Average, Single and Double Exponential Smoothing and Winter Method are
the prediction methods. As a result, the amount of carbon emission will increase in the future.
The results obtained to prove this diagnosis. Measures need to be taken for CO2 emissions.
Although global warming cannot be eliminated, slowing down can be achieved with IoT based
systems and applications.