The locational Marginal Pricing (LMP) is very important issue in deregulated environment. This paper provides a method to minimize the locational marginal pricing in the energy market. This market works under locational marginal pricing, i.e., generating units and demand loads are paid and pay, respectively, the locational marginal prices corresponding to the nodes they are connected to. An ind...

This talk corresponds to the paper 8] with the same name. 1 Motivation Multigrid solves a set of simultaneous linear equations optimally. That is the time and space used by the multigrid computation are proportional to N, the number of unknowns. In reality the performance of any computation is not just dictated by how many operations performed. The order of the operations and the layout of data...

Technological advancements, such as smart appliances, have enabled residential buildings to become a true Cyber-Physical System (CPS), where the devices correspond to the physical system and the smart computation and control mechanisms define the cyber part. An important aspect of these residential cyber-physical systems is their large portion of the overall energy consumption in the electric g...

In this paper, a new predictive-reactive approach to a parallel machine scheduling problem in the presence of uncertain disruptions is presented. The approach developed is based on generating a predictive parallel machine scheduling in such a way as to absorb the effects of possible uncertain disruptions through adding idle times to the job processing times. The uncertain disruption considered ...

Rescheduling disrupted railway traffic is computationally hard even for small problem instances. Disruptions may not be known beforehand and can manifest themselves even when trains are en-route, and they are usually resolved by human experts. Wide geographical distribution, a dynamically changing environment, complex interdependencies between multiple components, operational criticality and un...

Progress in activity-based modeling has recently focused on scheduling and rescheduling decisions (e.g. Gärling et al., 1999). In contributing to this line of research, the authors suggested a comprehensive model, called Aurora, of activity rescheduling decisions as a function of time pressure (Timmermans, et al., 2001). While the original paper focused on duration adjustment and schedule compo...

This paper presents a comprehensive review on methods for real-time schedule recovery in transportation services. The survey concentrates on published research on recovery of planned schedules in the occurrence of one or several severe disruptions such as vehicle breakdowns, accidents, and delays. Only vehicle assignment and rescheduling are reviewed; crew scheduling and passenger logistics pro...

The purpose of this chapter is to review the literature on empirical models of debt-rescheduling in international financial markets. The discussion focuses primarily on the statistical techniques that have been developed. These fall into two areas: discriminant-analysis and prob­ abilistic-choice models. We also present other methods that might prove useful in future empirical research in this ...

The power system restructuring has introduced competitiveness among different market players in electricity market and as a result transmission lines have to operate near to their thermal limits. System operators have a challenge to ensure reliable and secure transmission of power under these conditions. In this paper a rescheduling based congestion management solution is proposed for hybrid el...