Electricity price forecasting is a hypercritical issue due to the involvement of consumers and producers in electricity markets. Price forecasting plays an important role in planning and managing economic operations related with the electrical power (bidding, trading) and other decisions related with load shedding and generation rescheduling. It is also useful for optimization in electrical ene...

Rescheduling rolling stock during a disruption is a passenger railway optimization problem. In current practice this is typically optimized manually despite the high complexity and high runtime requirements of the task. In this paper we propose a path-based mathematical formulation that is solved using column generation in a complete Branch-and-Price framework. In contrast to flow-based approac...

In practice, machine schedules are usually subject to disruptions which have to be repaired by reactive scheduling decisions. The most popular predictive approach in project management and machine scheduling literature is to leave idle times (time buffers) in schedules in coping with disruptions, i.e. the resources will be under-utilized. Therefore, preparing initial schedules by considering po...

In an open electricity, when congestion occurs in a transmission time, it violates system security and system cost is increased. In a deregulated environment particularly, transmission congestion is one of the most prominent technical problems. Thus, while restructuring the power systems one of the important task of ISO/ TSO is to provide congestion free network. Generator rescheduling is the m...

Congestion management is one of the major tasks performed by system operators to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. This paper presents a new method of Speed Particle Swarm Optimization with Time-Varying Accelerati...

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...