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

Ohlsson, Mattias LU orcid ; Peterson, Carsten LU ; Pi, Hong ; Rögnvaldsson, Thorsteinn and Söderberg, Bo LU (1994) p.1063-1074
Abstract (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.
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
1994 Annual Proceedings of the American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
pages
12 pages
publisher
ASHRAE
external identifiers
  • scopus:0028720756
language
Swedish
LU publication?
yes
id
aa431939-4274-4b24-9afa-ea47feddf6ae
date added to LUP
2019-05-13 20:21:35
date last changed
2024-01-01 04:14:46
@inproceedings{aa431939-4274-4b24-9afa-ea47feddf6ae,
  abstract     = {{We devise a feed-forward Artificial Neural Network (ANN) procedure for <br/>predicting utility loads and present the resulting predictions for two <br/>test problems given by ``The Great Energy Predictor Shootout - The First <br/>Building Data Analysis and Prediction Competition''. Key ingredients in <br/>our approach are a method ($\delta$ -test) for determining<br/>relevant inputs and the Multilayer Perceptron. These methods are briefly <br/>reviewed together with comments on alternative schemes like fitting to <br/>polynomials and the use of recurrent networks.}},
  author       = {{Ohlsson, Mattias and Peterson, Carsten and Pi, Hong and Rögnvaldsson, Thorsteinn and Söderberg, Bo}},
  booktitle    = {{1994 Annual Proceedings of the American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.}},
  language     = {{swe}},
  pages        = {{1063--1074}},
  publisher    = {{ASHRAE}},
  title        = {{Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout"}},
  year         = {{1994}},
}