Mobile cloud computing (MCC) is a new technology that has been developed to overcome the restrictions of smart mobile devices (e.g. battery, processing power, storage capacity, etc.) to send a part of the program (with complex computing) to the cloud server (CS). In this paper, we study a multi-cell with multi-input and multi-output (MIMO) system in which the cell-interior users request service...

In view of the needs for energy minimization in the buildings sector, the design of cost optimal low energy buildings (LEB) in the Mediterranean area is of significant interest. The measures available to accomplish this task include the use of latest building technology and the customization of the design (climate, owner’s needs and requirements, user behavior, etc). The goals include the minim...

Building environments are significant sources of global energy consumption. To create energy efficient buildings, the first step is to sense and monitor all the energy-consuming appliances in the buildings and record all the energy consumption information. After that, appropriate energy saving policies can be decided and the instructions can be sent to the control devices to apply the energy sa...

Building environments are significant sources of global energy consumption. To create energy efficient buildings, the first step is to sense and monitor all the energy-consuming appliances in the buildings and record all the energy consumption information. After that, appropriate energy saving policies can be decided and the instructions can be sent to the control devices to apply the energy sa...

Wireless sensor networks (WSN) are a promising technology to monitor the state of large buildings and provide the necessary data for continuous optimization of energy consumption, for instance, related to thermal comfort or lighting control. For these applications, currently available off-the-shelf WSN devices are still too expensive for deployment in large quantities, require considerable amou...

The energy consumptions in households and the energy resources used for fulfilling the energy needs have been changing in a quite short period of time. The present study aims to provide a background of the energy consumptions in Portugal in a European context. A significant part of the energy consumptions is related to buildings. It is estimated that buildings use about 40% of all the energy ne...

Buildings account for almost 40% of energy consumption in European countries and hence are responsible for a significant part of greenhouse gas emissions. Recent regulations and standards (Minergie, Minergie P, etc.) are strongly encouraging more sustainable buildings by decreasing energy consumption and integrating more renewable energy sources. It is essential, in such a context, to evaluate ...

The goal of this paper is to establish the optimal routing path that minimizes the total energy consumption for a given target signal-to-noise ratio (SNR) for a 2-dimensional multi-hop underwater acoustic network. The energy efficient routing paths for both variable transmission power (VTP) and fixed transmission power (FTP) schemes were investigated. An empirical closed-form expression of the ...

This research proposes a Bayesian approach to include uncertainty that arises from modeling process and input values when predicting cooling and heating consumption in existing buildings. Our approach features Gaussian Process modeling. We present a case study of predicting energy use through a Gaussian Process and compare its accuracy with a Neural Network model. As an initial step of applying...

Close to 40% of the primary energy consumption in the U.S. comes from commercial and residential buildings [1]. Therefore, reducing this energy consumption is very important, both economically, and environmentally (due to the amount of CO2 emitted in the process of generating the electricity). Predicting the energy consumption of buildings (energy modeling) is a key component in reducing the bu...