Journal
ENERGY AND BUILDINGS
Volume 37, Issue 6, Pages 595-601Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2004.09.006
Keywords
intelligent buildings; energy demands and consumption; neural networks; load forecasting; optimization methods
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In this paper a new approach for short-term load prediction in buildings is shown. The method is based on a special kind of artificial neural network (ANN), which feeds back a part of its outputs. This ANN is trained by means of a hybrid algorithm. The new system uses current and forecasted values of temperature, the current load and the hour and the day as inputs. The performance of this predictor was evaluated using real data and results from international contests. The achieved results demonstrate the high precision reached with this system. (c) 2004 Elsevier B.V. All rights reserved.
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