As the transition to wind and solar progresses, the integration of renewable energy sources makes electricity production increasingly fluctuating, also causing volatility in electricity prices on energy markets. In order to guarantee power grid stability, utilities need to balance volatile supply through shifting demand. This measure of demand side management creates flexibility, being enabled ...

Low latency and scalable data dissemination is a critical requirement for many IoT applications, e.g., smart city applications, which are often realized by using the publish/subscribe communication paradigm. Ensuring low latency requires effective load balancing of the publish/subscribe topics across the different publishers and subscribers. To that end we present ongoing work on a data-driven ...

Challenges for content-based publish/subscribe systems include efficient subscription management and event matching, load balancing, and efficient and scalable event delivery. This paper presents an efficient and scalable framework for content-based publish/subscribe systems. We propose using K-D trees to dynamically partition and organize subscriptions, thereby preserving subscription locality...

This study investigates how acoustic change-events are represented in a listener's brain when attention is strongly focused elsewhere. Using magneto-encephalography (MEG) we examine whether cortical responses to different kinds of changes in stimulus statistics are similarly influenced by attentional load, and whether the processing of such acoustic changes in auditory cortex depends on modalit...

In this paper a new pattern recognition methodology is described for the classification of the daily chronological load curves of power systems, in order to estimate their respective representative daily load profiles, which can be mainly used for load forecasting and feasibility studies of demand side management programs. It is based on pattern recognition methods, such as k-means, adaptive ve...

Abstract— This paper describes the application of modern heuristic optimization algorithm, called pattern search algorithm, to automatic generation control of hybrid interconnected electric system. In this paper, the pattern search algorithm has been proposed for tuning of controller. The controller parameters related to each area have been tuned by the proposed algorithm. Ant colony optimizati...

This paper presents the study of overload contingency in the distribution system using fuzzy multiobjective approach considering customer load pattern. A model of 25 bus distribution system having five feeders, 20 loads and 29 distribution lines is simulated using Mi-Power software. Customer load pattern of the distribution system is designed using MATLAB. Taking the advantage of handling uncer...

We tested whether there were differences in measures of respiratory muscle endurance between tests with spontaneously chosen breathing patterns and tests with fixed breathing rates in normal volunteers. Measures of respiratory muscle endurance-maximum load tolerated, mean mouth pressure at maximum load and peak pressure at maximum load were reproducible over three tests with the spontaneously c...

This paper presents the application of Fuzzy ARTMAP neural network for evaluating on-line load forecasting in short term case. A new approach using artificial neural networks (ANNs) is proposed for short term load forecasting. To forecast loads of a day, the hourly load pattern and the maximum and minimum and average of temprature must be determined. To demonstrate the effectiveness of the prop...

The Triple Pattern Fragment (TPF) interface is a recent proposal for reducing server load in Web-based approaches to execute SPARQL queries over public RDF datasets. The price for less overloaded servers is a higher client-side load and a substantial increase in network load (in terms of both the number of HTTP requests and data transfer). In this paper, we propose a slightly extended interface...