Browsing by Author "Matias, J. C. O."
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- An approach to provide efficient choices to a household consumerPublication . Santos, Ricardo; Matias, J. C. O.; Abreu, AntónioIn this work, it will be presented an approach, applied to an energy efficiency problema in buildings, which allows the decision-agent (consumer) to perform a set of efficient choices, suitable to its needs, reducing therefore, the building overall energy consumption during the equipment lifecycle period (usage phase). The approach will use Evolutionary Algorithms (EA), combined with Multicriteria analysis. The quality of EA solutions will be evaluated through the comparison, with the ones, obtained from Simplex method. The EA robustness to the change of its parameters, will also be evaluated, as well as the influence of the objective function on its behavior. The approach can provide the consumer with several and different efficient solutions, with less time than Simplex. I tis also possible to improve the obtained solutions, by choosing adequately the EA`s control parameters, as well the problema formulation.
- Using evolutionary algorithms to achieve sustainable solutions through household appliancesPublication . Santos, Ricardo; Matias, J. C. O.; Abreu, AntónioIn order to reach a sustainable planet, there is a permanent need by the consumer (decision- agent), to achieve sustainable solutions, with its decisions. Given the importance of the buildings, as a sector to achieve such solutions, as well as the diversity of household appliances existent on the market, with all its different issues, there are several tradeoffs to consider (e.g. energy and water consumption vs initial investment), which difficult the consumer’s choices from the market. The problem increases, since nowadays, the consumer tries to get a solution from the market, with a good compromise between the Economic, Social and Environmental dimensions, and according to its specific needs, which can be different from other consumers. By considering a multicriteria approach, combined with an optimization technique, based on Evolutionary Algorithms (EA), it’s provided a set of sustainable solutions from the market to the consumer that respects the compromise referred before. In this work, it is presented an approach to support a decision-agent (DA) (consumer), by performing a set of sustainable choices based on household appliances from the market and suitable to its needs. Based on the obtained solutions, several savings are achieved (electrical and water consumption, CO2 emissions), by considering the consumer’s relative importance, regarding its Economics, Environmental and Social concerns.