RUIZ ARAHAL , Manuel

Call centers are nowadays a widespread solution to deal with customer support and as platform for different kind of business. Call center staffing is crucial to provide adequate service levels at acceptable costs. The task is usually accomplished using heuristics with the help of a human experts or with some static offline optimization based on...

En este artículo se muestra el desarrollo de un programa para la generación, explotación y mantenimiento de modelos de producción a corto plazo del consumo de energía eléctrica. El programa de nombre SICONEL ha sido probrado con los datos suministrados por la Compañía Sevillana de Electricidad. Los modelos que el programa utiliza son redes de...

The selection of input variables plays a crucial role when modelling time series. For nonlinear models there are not well developed techniques such as AIC and other criteria that work with linear models. In the case of Short Term Load Forecasting (STLF) generalization is greatly influenced by such selection. In this paper two approaches are...

Min-max model predictive controllers (MMMPC) have been proposed for the control of linear plants subject to bounded uncertainties. The implementation of MMMPC suffers a large computational burden due to the numerical optimization problem that has to be solved at every sampling time. This fact severely limits the class of processes in which this...

This paper deals with the identification of a nonlinear plant by means of a neural network (NN) modelling approximation. The problem of neural identification is tackled using a static NN in a NARX configuration. A method is proposed to obtain the number of past values needed to feed the network. The on-line adaptation of the model and other...

Energy load forecasting for optimization of chiller operation is a topic that has been receiving increasing attention in recent years. From an engineering perspective, the methodology for designing and deploying a forecasting system for chiller operation should take into account several issues regarding prediction horizon, available data,...

La invención presenta sistemas de almacenamiento de energía mediante la compresión / descompresión de un gas y su almacenamiento en baterías submarinas en las que se ajusta el par provocado por las fuerzas de flotación del gas y del peso del contrapeso, i

Modern electric machines are attracting great interest from the research community as a result of the increasing number of current applications, including electric vehicles and wind power generators, among others. Different machines, power converters, and control technologies are used, and the number of sensors is usually minimized to reduce...

El control predictivo de corrientes de estátor precisa una estimación de las corrientes rotóricas que son, usualmente, no medibles. Estas corrientes afectan a la evolución de la corriente de estátor y por tanto afectan a las predicciones usadas por el controlador. El procedimiento habitual consiste en estimar el efecto que producen dichas...

En este artículo se expone un método para conocer qué fracción de un campo solar se encontrará sombreada por el efecto de una nube interpuesta en la linea que une el campo solar con el sol mediante el análisis de una secuencia de imágenes tomadas antes de que suceda dicho acontecimiento. Para obtener la posición futura de una nube es...

Angle measurement is widely used in the servo positioning and speed control of electrical drives, where optical encoders are employed as sensors and coupled to microcontrollers with complex peripherals to provide effective position and speed measurement methods. These methods can achieve high precision and fast response, but are not...

Finite state model predictive control (FSMPC) of multiphase drives can use an extra number of inverter configurations compared with the three-phase case. This, however, requires more computing power for the optimization phase. The application time of each selected voltage vector (VV) is then increased, which can result in higher harmonic...

Finite-control-set model predictive control (MPC) including virtual/synthetic voltage vectors (VVs) has been recently proposed for the high-performance regulation of multiphase induction motor drives. However, the performance of VV-MPC still deteriorates when the predictive model presents inaccuracies due to simplifying assumptions or erroneous...

The interest in offshore wind farms has experienced a significant growth in recent years. Technical knowledge allow the design of wind farms at higher distances, making the high voltage dc (HVDC) transmission a real alternative to current high voltage ac (HVAC) transmission. When the network is decoupled from the wind farm by a dc link, there...