|
Details of conference paper
| Title: |
Modeling bidding curves: The linear hinges. Model versus the sigmo model |
| Authors: |
A. Mateo
, E.F. Sánchez-Úbeda
, A. Muñoz
, J. García-González
, J. Villar
, M. Casado
, A. Sáiz
, E.J. García
, R. González
|
| Keywords: |
Bidding curves, supply functions, electricity market, curve fitting, data mining, automatic learning, neural networks. |
Research topics |
Forecasting and data mining
Short-Term Operation, Market Bidding and Operating Reserves
|
| Abstract: |
In this paper, we present and compare two approaches to model supply and demand curves of a sealed-bid auction market. Both the Linear Hinges model and the Sigmo model are able to extract the relevant information from these bidding curves, without losing significant market information. We discuss their main similarities and important differences using an unified framework, to highlight their main strengths and weakness. A practical comparative study based on real supply functions from the Californian electricity market has been included to derive practical conclusions. |
| Reference: |
IEEE Power Tech. Conference, Porto, Portugal, POM6-395. 10-13 September 2001 |
| Publication date: |
September 2001 |
| Internal document reference: |
IIT-01-029A |
|
|
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