Recurrent neural networks for short-term load forecasting
Recurrent neural networks for short-term load forecasting
J. Vermaak,E. Botha
1998 · DOI: 10.1109/59.651623
158 Citations
TLDR
It is postulated that the load can be modeled as the output of some dynamic system, influenced by a number of weather, time and other environmental variables, and recurrent neural networks, being members of a class of connectionist models exhibiting inherent dynamic behavior, can be used to construct empirical models for this dynamic system.