Global model for short-term load forecasting using artificial neural networks
β Scribed by Marin, F.J.; Garcia-Lagos, F.; Joya, G.; Sandoval, F.
- Book ID
- 114453161
- Publisher
- The Institution of Electrical Engineers
- Year
- 2002
- Tongue
- English
- Weight
- 625 KB
- Volume
- 149
- Category
- Article
- ISSN
- 1350-2360
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An artificial neural network (ANN) model for short-term load forecasting (STLF) is presented. The proposed model is capable of forecasting the next 24-hour load profile at one time, as opposed to the usual 'next one hour' ANN models. The inputs to the ANN are load profiles of the two previous days a
## Abstract The primary objective of this study is to investigate the possibility of including more temporal and spatial information on shortβterm inflow forecasting, which is not easily attained in the traditional timeβseries models or conceptual hydrological models. In order to achieve this objec