Complex Process Visualization through Continuous Feature Maps Using Radial Basis Functions
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Local multidimensional scaling
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Comparison of visualization methods for an atlas of gene expression data sets
Information Visualization
Dimension reduction and visualization of large high-dimensional data via interpolation
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets
IEEE Transactions on Neural Networks
A general regression neural network
IEEE Transactions on Neural Networks
Two-stage approach for electricity consumption forecasting in public buildings
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
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The analysis of the daily electricity consumption profile of a building and its correlation with environmental factors makes it possible to examine and estimate its electricity demand. As an alternative to the traditional correlation analysis, a new approach is proposed to provide a detailed and visual analysis of the correlations between consumption and environmental variables. Since consumption profiles can be characterized by many components, the input space is high dimensional. For that reason, it is necessary to apply dimensionality reduction techniques that enable a projection of these data onto an easily interpretable 2D space. In this paper, several dimensionality reduction techniques are tested in order to determine the most appropriate one for the stated purpose. Later, the proposed approach uses the chosen algorithm to analyze the influence of the environmental variables on the electricity consumption in public buildings located at the University of Leon. Finally, electricity profiles from all buildings are compared with regard to two aspects, the magnitude and dynamics of the consumption.