Enrique A. de la Cal

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The detection of thermal insulation failures in buildings in operation responds to the challenge of improving building energy efficiency. This multidisciplinary study presents a novel four-step soft computing knowledge identification model called IKBIS to perform thermal insulation failure detection. It proposes the use of Exploratory Projection Pursuit(More)
Energy saving systems are needed to reduce the energy taxes, so the electric energy remains balanced. In Spain, a local company that produces electric heaters needs an energy saving device to be integrated with the heaters. The building regulations in Spain introduce five different climate zones, so such device must meet all of them. In previous works the(More)
In this paper we present a self-organizing process for rules obtained from a machine learning system. The resulting map can be interpreted back into the symbolic field in an attempt to make the logical representation of the original rules reflect the relationships codified by map distances. Thus, we improve the quality of the starting set of rules both in(More)
It is well known that global sustainability must begin with human actions. A reduction of the consumed energy in the heating systems is one of such possible actions. The higher the society prosperity the higher the required houses comfort, and the higher amount of energy. In Spain it is especially important as the construction rate is almost the half of(More)
In electrical heating systems, the electrical power consumption should be lower than the Contracted Power Limit. Energy distribution devices are used to solve this problem, but they are only concerned with the electrical energy. We claim that this energy distribution must also consider the comfort level in the building. In this work, an electrical energy(More)
A new machine learning system, INNER, is presented in this paper. The system starts out from a collection of training examples; some of them are inflated generalizing their description so as to obtain a first draft of classification rules. An optimization stage, borrowed from our previous system, Fan, is then applied to return the final set of rules. The(More)
Improving the detection of thermal insulation in buildings –which includes the development of models for heating and ventilation processes and fabric gain-could significantly increase building energy efficiency and substantially contribute to reductions in energy consumption and in the carbon footprints of domestic heating systems. Thermal insulation(More)
A local Spanish company that produces electric heaters needs an energy saving device to be integrated with the heaters. It was proven that a hybrid artificial intelligent systems (HAIS) could afford the energy saving reasonably, even though some improvements must be introduced. One of the critical elements in the process of designing an energy saving system(More)
In previous works a methodology was defined, based on the design of a genetic algorithm GAP and an incremental training technique adapted to the learning of series of stock market values. The GAP technique consists in a fusion of GP and GA. The GAP algorithm implements the automatic search for crisp trading rules taking as objectives of the training both(More)