Antonio Gomes Martins

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Power generation expansion planning inherently involves multiple, conflicting and incommensurate objectives. Therefore, mathematical models become more realistic if distinct evaluation aspects, such as cost and environmental concerns, are explicitly considered as objective functions rather than being encompassed by a single economic indicator. With the aid(More)
The present trend to electricity market restructuring increases the need for reliable short-term load forecast (STLF) algorithms, in order to assist electric utilities in activities such as planning, operating and controlling electric energy systems. Methodologies such as artificial neural networks (ANN) have been widely used in the next hour load forecast(More)
The installation of shunt capacitors in primary distribution electrical networks can effectively reduce energy and peak power losses, while improving voltage profile. Economic and operational benefits depend mainly on the number, locations and sizes of the capacitors installed. Several approaches devoted to this problem have been reported in the literature.(More)
This work presents the use of a problem structuring method, Soft Systems Methodology (SSM), to structure a Multi-Criteria Decision Analysis (MCDA) model, aimed at appraising energy efficiency initiatives. SSM was useful to help defining clearly the decision problem context and the main actors involved, as well as to unveil the relevant objectives for each(More)
This paper reflects an attempt to rethink the process of analysis of Energy Efficiency Initiatives using Soft Systems Methodology (SSM) as a problem structuring tool. The aim of the work is to provide public and private initiative promoters with a structured support for a more informed decision, regarding the implementation of energy efficiency measures.(More)
The algorithms for short-term load forecast (STLF), especially within the next-hour horizon, belong to a group of methodologies that aim to render more effective the actions of planning, operating and controlling electric energy systems (EES). In the context of the progressive liberalisation of the electricity sector, unbundling of the previous monopolistic(More)
This paper presents a multiobjective linear integer programming model for supporting the choice of remote load control strategies in electric distribution network management. The model takes into account the main concerns in load management, considering three objective functions: minimization of the peak demand as perceived by the distribution network(More)