Recurrent Neural Networks for Short-Term Load Forecasting An Overview and Comparative Analysis /

• Κύριοι συγγραφείς: Bianchi, Filippo Maria (Συγγραφέας), Maiorino, Enrico (Συγγραφέας), Kampffmeyer, Michael C. (Συγγραφέας), Rizzi, Antonello (Συγγραφέας), Jenssen, Robert (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Computer science.; Computer software > Reusability.; Computer system failures.; Artificial intelligence.; Power electronics.; Computer Science.; Artificial Intelligence (incl. Robotics).; System Performance and Evaluation.; Power Electronics, Electrical Machines and Networks.; Energy Efficiency.; Performance and Reliability.

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. Significant research has thu...