The paper presents a clustering based approach for consumers’ classification in representative categories characterized by typical load profiles. For determination of the consumption categories, every customer must be characterized by the following primary information: daily (monthly) energy consumption, average load and peak load. The used database contains the daily load curves corresponding ...

Using the results of a representative survey for the city of Stuttgart, household load-curves are simulated through an agent-based modelling approach. Aggregated household load-curves for different lifestyle groups are presented and the effect of their corresponding behavioral profiles on the residential load-curve is evaluated.

Considering the large number of customers, local online monitoring is not conceivable. Alternatively, customers’ load could be estimated using some measurements in the main station and also on important points of power grid. Therefore, the customers’ load allocation is a consequential part in automated distribution power systems. In this paper, the load allocation is developed using average dem...

Improving nontechnical loss detection is a huge challenge for electric companies. The great number of clients and the diversity of the different types of fraud makes this a very complex task. In this paper we present a fraud detection strategy based on class imbalance research. An automatic detection tool combining classification strategies is proposed. Individual classifiers such as One Class ...

The importance of efficient use of IT infrastructure capacities increases, as the growing amount of deployed IT systems increasingly requires resources. On the one hand, companies can outsource their IT demands to Cloud providers in order to only pay for the very amount of required computational power. On the other hand, cloud providers themselves need to be efficient as well, as it may be the ...

In this paper we propose a new method to evaluate the effects of nationwide conservation voltage reduction (CVR) on peak-load shaving, using substation operating results management system (SOMAS) data. Its evaluation is based on a national CVR factor, which is defined as the weighted average of CVR factors associated with all transformer banks and weighting coefficients are determined by the re...

Energy companies and policy makers often utilize pricing mechanism to promote energy conservation besides informational provision. Such dynamic pricing includes not only the high/low price conditional on the consumption time, but the rebates which reward the consumers afterwards based on the total consumption. Even though rebates can motivate consumers to save more, such saving could provide co...

Fine-grained device-level predictions of both shiftable and nonshiftable energy demand and supply is vital in order to take advantage of Demand Response (DR) for efficient utilization of Renewable Energy Sources. The selection of an effective device-level load forecast model is a challenging task, mainly due to the diversity of the models and the lack of proper tools and datasets that can be us...

An alternative and simplified procedure is described to estimate the longitudinal resistances of transmission lines based on the real-time load profile. This method proposes to estimate the resistance parameters from the synchronized measurements of complex currents and complex voltages at the sending and receiving ends of transmission systems. The synchronized measurements can be in practice o...

This paper focuses on analysing the variation in IEEE802.11k channel load measurements for neighbouring WLAN systems. The channel load functionality was implemented in the QualNet simulation tool, and several scenarios were configured for testing. The effects of different numbers of active systems with different traffic patterns were examined. The results obtained indicate significant variation...