Load balancing is a classical problem from the beginning of parallel computing and further in distributed systems design. This is a NP-complete problem. The aim of this paper is to present a new heuristic approach in assuring an optimal load balancing into a local computer network using cognitive behavioral modeling.

Complexity of the geometry and structure of the heart hampers easy modeling of cardiac mechanics. The modeling can however be simplified considerably when using the hypothesis that in the normal heart myofiber structure and geometry adapt, until load is evenly distributed. A simple and realistic relationship is found between the hemodynamic variables cavity pressure and volume, and myofiber loa...

This paper addressed some theoretical and practical issues relevant to the problem of power system load modeling and identification. An identification method is developed in the theoretical framework of stochastic system identification. The identification method presented in this paper belongs to the family of output error models and is based on well-established equations describing load recove...

This paper proposes a method calculating total transfer capability(TTC) and critical voltage using static power model based on real-time recording data, traditional power system dispatching calculation doesn’t consider load model, which does not agree with the real, this paper compares TTC and critical voltage under different load model and P-V curves, on which load model has a strong influence...

Nowadays, a large part of the traded volume in power markets represents energy to be consumed or produced in the future as a forward or future product. Hence, the need for precise forecasting of load demand and prices arises for all market players. This project proposes an hourly load model for Germany with focus on long term forecast using tools provided from the econometrics theory, such as r...