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May-2013

Volume: 14, Issue: 1, May 2013

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Bringing Building Data on Construction Site for Virtual Renovation Works

Authors: Jeremie Landrieu, Yudi Nugraha, Christian Pere, Frédéric Merienne, Samir Garbaya, Christophe Nicolle

Abstract:

In this study we aimed at evaluating the benefit of managing a digital mock-up for renovation operations in an ancient building. Focusing on thermal efficiency, the renovation proposal dealt with the great windows. We compared three methodologies dedicated to the project planning and management. We first address the issue of the renovation of old buildings and come up with a workflow that connects the digital building to its lifecycle; then we focus on an instance of onsite handling of such data, in an augmented reality context, by elaborating the notion of “BIM in situ” as described in the papers of [3] as well as in [4]. Results reveal that handling BIM onsite through a mobile device is challenging but they also show that it brings more efficiency.

(pp. 737-747)                    Download PDF

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Long-Term Load Forecasting of Jordanian Power Grid using Radial Basis Function Neural Networks

Authors: Almaita, E., Aulimat, B.

Abstract:

In this paper, the Radial Basis Function Neural Networks (RBFNN) algorithm is used to forecast the electrical load demand in Jordan. The total load consumption is divided into different sectors. These sectors are; households, commercial, services, industrial, water pumping and public lighting sector.  A small and effective RBFNN models is used to forecast the load demand for each sector. These models utilize a small, but important, number of factors that drive the load demand. In order to reduce the effect of the random parameters, the input of these models also contained a delayed version of some driving factors. The data for the period 1990-2007 is used train the RBFNN models and the data for the period 2008-2010 is used to validate the models effectiveness. The total load forecasting is calculated by the algebraic sum of the forecasted value of the different sectors.

(pp. 748-752)                    Download PDF