2. Then ARIMA(p,d,q) adjusting this parameter i got finalized value like(1,2,0) based on MAPE metric. Is this Correct? Here itself i can able to identify best value of p (Partial auto correlation), d(differencing value) and q(Auto correlation). 3. Then what is the purpose of Dic...
Energy access measurement is highly sensitive to changes in parameter values. The impact of rural-urban development transformation on energy consumption and CO2 emissions varies greatly across regions. Urbanization and consumption structure increases residential indirect CO2 emissions in China. The sensitivity...
Secondly, not all sectors have a remarkable correlation between sectoral electricity consumption and economic growth as only part of them have reasonable values to describe the time difference relationship. Thirdly, the results present both diversity and aggregation at the industry level, while lagging ...