Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis by Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
English | 2017 | ISBN: 3319703374 | 72 Pages | PDF | 5.6 MB
The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective forecasting system.