This repository contains a Python-based tool for Carbon Footprint Analysis and Emission Forecasting. It uses synthetic data to demonstrate how to analyze historical carbon emissions and forecast ...

Climate forecasts, both experimental and operational, are often made by calibrating Global Climate Model (GCM) outputs with observed climate variables using statistical and machine learning models.

Darts is a Python library for user-friendly forecasting and anomaly detection on time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The forecasting ...