Artículo
Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques
Autor/es | Troncoso Lora, Alicia
Riquelme Santos, Jesús Manuel Gómez Expósito, Antonio Martínez Ramos, José Luis Riquelme Santos, José Cristóbal |
Departamento | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Ingeniería Eléctrica |
Fecha de publicación | 2007 |
Fecha de depósito | 2020-05-13 |
Publicado en |
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Resumen | This paper presents a simple technique to forecast next-day electricity market prices based on the weighted nearest neighbors methodology. First, it is explained how the relevant parameters defining the adopted model are ... This paper presents a simple technique to forecast next-day electricity market prices based on the weighted nearest neighbors methodology. First, it is explained how the relevant parameters defining the adopted model are obtained. Such parameters have to do with the window length of the time series and with the number of neighbors chosen for the prediction. Then, results corresponding to the Spanish electricity market during 2002 are presented and discussed. Finally, the performance of the proposed method is compared with that of recently published techniques. |
Cita | Troncoso Lora, A., Riquelme Santos, J.M., Gómez Expósito, A., Martínez Ramos, J.L. y Riquelme Santos, J.C. (2007). Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques. IEEE Transactions on Power Systems, 22 (3), 1294-1301. |
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