Abstract 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.

Abstract A trend of developing electricity distribution networks towards a concept of smart distribution networks has been noted for quite some time. Tendency to integrate all different systems installed in electricity distribution network has also been observed as a part of the trend. This creates the opportunity for distribution system operators to efficiently utilise the data from all the different systems and all the electronic devices, installed in electricity distribution networks, for more comprehensive and accurate network power quality (PQ) monitoring. This paper presents the possibilities of implementation of Integrated Power Quality Monitoring System (IPQMS), which should integrate all the PQ data from all the available systems in smart distribution grids. The concept of advanced IPQMS is also presented. Apart from integration of PQ data, it would also estimate the state of PQ in an analysed area, perform localisation of disturbance sources and suggest mitigation measures. Furthermore, the paper presents the possibilities, advantages and needs for implementation of such a system based on real measurement results from the electricity distribution networks of the Public Electric Utility Elektroprivreda of Bosnia and Herzegovina d.d. - Sarajevo (JP Elektroprivreda BiH d.d. - Sarajevo). The conclusion is that the implementation of IPQMS system is necessary if the complete information about the state of PQ in electricity distribution networks of the future is required.