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Multi-objective robust optimization to solve energy scheduling in buildings und...

Soares, João; Vale, Zita; Borges, Nuno; Lezama, Fernando; Kagan, Nelson

With the high penetration of renewable generation in Smart Grids (SG), the uncertainty behavior associated with the forecast of weather conditions possesses a new degree of complexity in the Energy Resource Management (ERM) problem. In this paper, a Multi-Objective Particle Swarm Optimization (MOPSO) methodology is proposed to solve ERM problem in buildings with penetration of Distributed Generation (DG) and El...



Intelligent Energy Management using CBR: Brazilian Residential Consumption Scen...

Fernandes, Filipe; Alves, Douglas; Pinto, Tiago; Takigawa, Fabrício; Fernandes, Rubipiara; Morais, Hugo; Vale, Zita; Kagan, Nelson

This paper proposes a novel case-based reasoning (CBR) approach to support the intelligent management of energy resources in a residential context. The proposed approach analyzes previous cases of consumption reduction in houses, and determines the amount that should be reduced in each moment and in each context, in order to meet the users’ needs in terms of comfort while minimizing the energy bill. The actual ...




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