In this paper we focus our attention on the long-term load forecasting problem, that is the prediction of energy consump- tion for several months ahead (up to one or more years), useful in order to ease the proper scheduling of operative conditions (such as the planning of fuel supply). While several effective techniques are available in the short-term framework, no reliable methods have been proposed for long-term predictions. For this purpose, we de- scribe in this work a new procedure, which exploits the Empirical Mode Decomposition method to disaggregate a time series into two sets of components, respectively describing the trend and the local oscillations of the energy consumption values. These sets are then used for training Support Vector Regression models. The experi- mental results, obtained both on a public-domain and on an office building dataset, allow to validate the effectiveness of the proposed method

This letter describes a cell-centered finite-volume time-domain method for solving electromagnetic problems which involve media having finite conductivity. Two different approaches, the additive induced source technique and the fractional-step technique (FST), are considered and compared with a reliable numerical method. Namely, the former treats the induced electric current density as an additive source term, whereas the latter is based on the FST

In the last years, with the flourishing of the WSN (wireless sensor network) paradigm, the monitoring and exploration of the terrestrial environment has greatly improved. While terrestrial and aerial WSN applications have been developed, the aquatic world has been unaffected by this revolution, although WSN could play an important role in the underwater framework as well. This is mainly due to the intrinsic difficulties in transferring the conventional WSN know-how to the aquatic world: in particular, communication issues arise, as radio waves are remarkably attenuated and acoustic communication is unfeasible because of its low propagation speed. In this paper, we present an innovative proposal for a Smart Underwater WSN, where optical communication systems are exploited for creating the network among the nodes. A simulator has been developed with the aim of helping the design of the network nodes and find the best solution in terms of communication quality

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