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Mattias Ohlsson

Mattias Ohlsson

Professor

Mattias Ohlsson

Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout"

Author

  • Mattias Ohlsson
  • Carsten Peterson
  • Hong Pi
  • Thorsteinn Rögnvaldsson
  • Bo Söderberg

Summary, in Swedish

We devise a feed-forward Artificial Neural Network (ANN) procedure for
predicting utility loads and present the resulting predictions for two
test problems given by ``The Great Energy Predictor Shootout - The First
Building Data Analysis and Prediction Competition''. Key ingredients in
our approach are a method ($\delta$ -test) for determining
relevant inputs and the Multilayer Perceptron. These methods are briefly
reviewed together with comments on alternative schemes like fitting to
polynomials and the use of recurrent networks.

Department/s

  • Computational Biology and Biological Physics

Publishing year

1994

Language

Swedish

Pages

1063-1074

Publication/Series

1994 Annual Proceedings of the American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.

Document type

Conference paper

Publisher

ASHRAE

Topic

  • Computational Mathematics

Status

Published