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Faculty of Engineering and Information Sciences - Papers: Part A

2016

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Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Renewable Energy Management In A Remote Area Using Modified Gravitational Search Algorithm, Sahand Ghavidel, Jamshid Aghaei, Kashem M. Muttaqi, Alireza Heidari Jan 2016

Renewable Energy Management In A Remote Area Using Modified Gravitational Search Algorithm, Sahand Ghavidel, Jamshid Aghaei, Kashem M. Muttaqi, Alireza Heidari

Faculty of Engineering and Information Sciences - Papers: Part A

In this paper, a small remote area which is located in Nigeria has been considered as a model to be tested by a managing scheme for providing both electricity and water. In this strategy, the groundwater is pumped into a water tank which can be later used for supplying required irrigation and drinking water. A PAT (Pump as Turbine) is used as a hybrid system for supplying electricity and water as well as storing water in the water tank. Also, a PV (photovoltaic plant), a package of batteries (BAT) in addition to a diesel ICE (internal combustion engine) are used …


Outlier Robust Small-Area Estimation Under Spatial Correlation, Timo Schmid, Nikos Tzavidis, Ralf Munnich, Raymond L. Chambers Jan 2016

Outlier Robust Small-Area Estimation Under Spatial Correlation, Timo Schmid, Nikos Tzavidis, Ralf Munnich, Raymond L. Chambers

Faculty of Engineering and Information Sciences - Papers: Part A

Modern systems of official statistics require the estimation and publication of business statistics for disaggregated domains, for example, industry domains and geographical regions. Outlier robust methods have proven to be useful for small-area estimation. Recently proposed outlier robust model-based small-area methods assume, however, uncorrelated random effects. Spatial dependencies, resulting from similar industry domains or geographic regions, often occur. In this paper, we propose an outlier robust small-area methodology that allows for the presence of spatial correlation in the data. In particular, we present a robust predictive methodology that incorporates the potential spatial impact from other areas (domains) on the small …