FORECASTING OF CO2 WITH THE EFFECT OF RENEWABLE ENERGY, NON-RENEWABLE ENERGY, GDP AND POPULATION FOR TURKEY: FORECASTING WITH NMGM (1,N) GRAY FORECASTING MODEL

Carbon dioxide emission is one of the important factors that have a negative impact on environment. One reasons why policy makers produce incentive policies renewable energy they want to reduce CO2 emissions. From this point view, prediction emissions must be made depending different factors, and new can developed implemented according results. In article, approach from gray estimation models, NMGM (1, N) forecasting model, used measure consumption, non-renewable GDP Population over time. 2006-2015 data was simulation set 2016-2019 as test set. addition method, with GM econometric which multivariate results were compared. As result, model has become very effective method low deviation values.