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Following increased efforts during the last decade to formulate mathematical models for the paper drying process, this paper presents a Modelica library, DryLib, which enables users to rapidly develop complex models of paper machine dryer sections. In addition, parameter optimization, model reduction and moisture control by means of Non-Linear Model Predictive Control is treated. These application

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This paper develops an hourly forward curve for power markets where the intra-day and intra-week shapes (profiles) depend on the level of the hydrological balance. The shaping model is based on a feed-forward Artificial Neural Network (ANN), which is trained on a historical data set of hourly electricity spot prices from the Nord Pool market and weekly measurements of the Nordic hydrological balan

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Time-domain fundamental solutions and Green dyadics for temporally dispersive, simple media are introduced. Second forerunner approximations to the electromagnetic fields from an electric point dipole in unbounded dispersive materials are obtained. Numerical results for two frequently used material models are presented. Moreover, surface integral representations of the electromagnetic fields in di