Akademik Veri Yönetim Sistemi
International World Energy Conference, Kayseri, Türkiye, 03 Aralık 2021, ss.221-225
Identifying changes in energy consumption can be affected by climate change. The rising intensity of climate
change, especially global warming, will have a negative impact on energy consumers and power companies
economically. As a result, it is vital to identify the primary challenges that will determine how changes in the
economy, environment, and technology as a result of climate change affect the energy system's future. The
objective of studu is to analyze the long-term link between electricity usage and climatic factors such as air
temperature, humidity, and wind speed in Erbil city of Iraq, using monthly data from 2009 to 2019. Data were
obtained from two sources. First one, the electricity load data wass obtained from the Erbil directorate of
electricity. The latter, wind speed, temperature, and rate of humidity, were obtained from the general
directorate of agriculture and weather. In this study, the dependent variable is electrical load, and the
independent variables are humidity, temperature, and wind speed. For this purpose, firstly, the graphs of the
series were examined to see the general course of the series. Then, ACF and PACF graphs were examined to
understand whether there was seasonality or not. Then, the stationarity of the series was examined by
conventional unit root tests. The cointegration relationship between the electricity load and wind speed series,
which are stationary in their first difference, is tested with the Jonahansen cointegration method. The
cointegration relationship between the electrical load, wind speed, and air temperature and humidity series,
which are stationary at different levels, was tested using the ARDL method. According to the results obtained,
it has been determined that the series of electric load and wind speed move together in the long run. According
to the ARDL model estimation results, it was found that there is a statistically significant long-term relationship
between electric charge and humidity, wind speed and air temperature. These results show that climate change
will increase energy use.