Forecasting Electricity Prices with Historical Statistical Information using Neural Networks and Clustering Techniques
Factors such as uncertainty associated to fuel prices, energy demand and generation availability, are on the basis of the agents major concerns in electricity markets. Facing that reality, price forecasting has an increasing impact in agents’ activity. The success on bidding strategies or on price n...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2006
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/9366 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/9366 |