文档介绍：Solar aspects of papers
Combination of Kohonen SOM and Multi- layer Perceptron for modeling and forecasting the energy needs of a Solar House
. Iracleous .
G. Kathreptis Technological Educational Institute of Piraeus
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. Xanthopoulos . University of Hertfordshire
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Abstract
works are used with ess to model non-linear systems, as this of a Solar House. Multi- layer Perceptron is used in the majority of papers for forecasting the energy that is required in a Solar House. In this paper the energy behavior of a Solar House is examined, to perform on-line peak power forecast. ΝΝ Kohonen is used to order the energy and meteorological facts, classify them in plexes and after that, feed them in an MLP, to achieve faster and more precise forecast of energy demands for a Solar House.
1. Introduction
Artificial works (ANN) has been widely used for a range of applications in the area of energy modelling. The literature has demonstrate their superior capability over-conventional methods, such as times series or regression, their main advantage being the high potential to model non-linear processes, such as utility loads or individual buildings energy consumption.
The application of the ANN methodology to the problem of short term load forecasting for electric power utilities has received