Name
Title | ||
|---|---|---|
Combining forecasts with blind signal separation methods in electric load prediction framework |
Abstract | ||
|---|---|---|
In this paper we present a novel method for prediction improvement when many models are used. Our aim is to find in the modeling results the common basis components and process them to filter the noises and destructive signals. The basis components are found by blind separation methods like PCA or ICA. The constructive signals are integrated using an inverse system to decomposition or neural network. We check the validity of our methodology on load prediction task. |
Year | Venue | Keywords |
|---|---|---|
2006 | Artificial Intelligence and Applications | combining forecast,neural network,blind signal separation method,basis component,inverse system,prediction improvement,modeling result,constructive signal,electric load prediction framework,blind separation method,destructive signal,common basis component,load prediction task,blind signal separation,neural networks |
Field | DocType | ISBN |
Pattern recognition,Electrical load,Constructive,Computer science,Artificial intelligence,Artificial neural network,Blind signal separation,Inverse system | Conference | 0-88986-556-6 |
Citations | PageRank | References |
1 | 0.47 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryszard Szupiluk | 1 | 38 | 8.97 |
| Piotr Wojewnik | 2 | 20 | 6.32 |
| Tomasz Zabkowski | 3 | 32 | 11.28 |