CO₂ concentration forecasting in smart cities using a hybrid ARIMA-TFT model on multivariate time series IoT data.

ABSTRACT: Carbon Dioxide (CO[Formula: see text]) is a significant contributor to greenhouse gas emissions and one of the main drivers behind global warming and climate change. In spite of the global economic slowdown due to the COVID-19 pandemic, the global average atmospheric CO[Formula: see text] concentration reached a new record high in 2020 with its year-on-year increase being the fifth highest annual increase in 63 years, according to the National Oceanic and Atmospheric Administration. Furthermore, the years 2020 and 2019 were respectively the second and third warmest, while the decade 2010-2019 was the warmest decade ever recorded. In an attempt to curb this climate emergency, many countries and organizations globally have adopted ambitious goals and announced plans to help dramatically redu

SUBMITTER: Linardatos P 

PROVIDER: S-EPMC10570338 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature