Electric power demand forecasting using interval time series: A comparison between VAR and iMLP |
| |
| Authors: | Carolina Garcí a-Ascanio,Carlos Maté |
| |
| Affiliation: | ICAI, School of Industrial Engineering, Pontificia Comillas University, Alberto Aguilera 25, 28015 Madrid, Spain |
| |
| Abstract: | Electric power demand forecasts play an essential role in the electric industry, as they provide the basis for making decisions in power system planning and operation. A great variety of mathematical methods have been used for demand forecasting. The development and improvement of appropriate mathematical tools will lead to more accurate demand forecasting techniques. |
| |
| Keywords: | Interval data Interval multi-layer perceptron Vector autoregressive model |
| 本文献已被 ScienceDirect 等数据库收录！ |
