A feed-forward artificial neural network (ANN) procedure has been devised for predicting utility loads; the resulting predictions are presented for two test problems given by “The Great Energy Predictor Shootout – The First Building Data Analysis and Prediction Competition” (Kreider and Haberl 1994). Key ingredients in this approach are the multilayer perception and a method (delta test) for determining relevant inputs. These methods are briefly reviewed, together with comments on alternative schemes such as fitting polynomials and the use of recurrent networks.
KEYWORDS: artificial intelligence, expert systems, calculating, heat load, energy consumption, competition
Citation: Symposium, ASHRAE Trans. 1994, Vol.100, Part 2
Product Details
- Published:
- 1994
- File Size:
- 1 file , 1 MB
- Product Code(s):
- D-17680
