Impact of Air Temperature on Active and Reactive Power Consumption - Sarajevo Case Study

As the influence of ambient temperature on the consumption of electricity has been the subject of research for several decades, a number of different approaches has been developed and applied for this purpose. In the recent years, special attention has been drawn on techniques for time-frequency analysis of time series, such as the Wavelet Transform (WT) or the Hilbert-Huang Transform (HHT), providing observations of temperature influence on consumption of electricity over time and for varying periods of time / frequency. In this paper, using Huang’s Empirical Mode Decomposition (EMD) and correlations between Intrinsic Mode Functions (IMFs), we investigated the impact of air temperature variations on the active and reactive power consumption (recorded during 2011) in the Sarajevo City. Applying the EMD approach, time series were decomposed into several Intrinsic Mode Functions (IMFs) and after that, correlations were applied to determine relationships between IMFs. Calculating the correlations between the individual IMFs, one can identify the periods when the time series have the strongest relationship, providing additional and useful information about the impact of temperature variations on active and reactive power consumption at different periods over the observed time horizon. The results of the analyses show moderate and strong interrelationships between temperature and active and reactive consumption for different periods/frequencies. Comparison was made between the results of the electricity consumption of other power distribution parts of the same public utility and it can be concluded that Sarajevo, as the capital and the area with a much higher Gross Domestic Product (GDP) than other parts of Bosnia and Herzegovina, does not have significant different characteristics in terms of the influence of temperature on the consumption of active and reactive energy.