Marcos Heyse Pereira

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This paper investigates the creation of efficiency measurements structures of decision-making units (DMUs) called Neuro-DEA, by using high-speed optimization modules called Neuro-LP, inspired in the "philosophy" of an unconventional artificial neural network (ANN) and numerical methods. In addition, the linear programming problem LPP is transformed into an(More)
Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine(More)
In this paper we consider periodic optimal operation of constrained periodic linear systems. We propose an economic model predictive controller based on a single layer that unites dynamic real time optimization and control. The proposed controller guarantees closed-loop convergence to the optimal periodic trajectory that minimizes the average operation cost(More)
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