About this document
CO2 Emission Forecasting in Smart Cities by 8z4x522w8n is a document available to read on EtoBox.
The document discusses CO2 emission forecasting in smart cities, emphasizing the urgency of addressing climate change and the need for reliable data to inform public policy. It highlights the use of the DARTS Python library for data manipulation and forecasting, utilizing historical data from the Mauna Loa Observatory. The study evaluates six predictive models and various accuracy metrics to enhance understanding of CO2 emissions and their impact on living standards.
- Author
- 8z4x522w8n
- Language
- EN