CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2015_38
authors Stavrakantonaki, Marina
year 2015
title A Framework for Input Data Processing During Building Energy Model Calibration. A Case Study
source Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 625-634
wos WOS:000372317300068
summary Key parameter of a reasoning process supporting real time performance is the use of active heuristics that facilitate the achievement of goals in a timely manner (Dodiawala et al. 1989). A real time approach should incorporate speed, timeliness and adaptation during the execution of tasks. Speed and efficient knowledge processing are addressed for the solution of complex building engineering problems, such as the calibration of Building Energy Models (BEM) to the actual performance data. During retrofit projects, calibrated BEM models aid the design process, and provide a solid base for performative assessments. Despite the demand for building performance evaluations, BEM calibration remains a work-intensive task (Lam et al. 2014). This study proposes a time efficient framework for BEM calibration input data management based on the methodology of a blackboard artificial intelligence knowledge processing system. The resulting model was used for sequential data mining for the energy assessment during the renovation of a commercial building.
series eCAADe
full text file.pdf (2,016,348 bytes)
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