Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout"
(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:
https://lup.lub.lu.se/record/aa431939-4274-4b24-9afa-ea47feddf6ae
- author
- Ohlsson, Mattias LU ; Peterson, Carsten LU ; Pi, Hong ; Rögnvaldsson, Thorsteinn and Söderberg, Bo LU
- organization
- publishing date
- 1994
- 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}}, }