A proposed intelligent short-term load forecasting hybrid models of ANN, WNN and KF based on clustering techniques for smart grid

Author:

Aly Hamed H.H.ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference44 articles.

1. Short-term residential load forecasting based on resident behaviour learning;Kong;IEEE Trans. Power Syst.,2018

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3. Clustering-based improvement of nonparametric functional time series forecasting: application to intra-day household-level load curves;Chaouch;IEEE Trans. Smart Grid,2014

4. Implementation of hybrid short-term load forecasting system using artificial neural networks and fuzzy expert systems;Kim;IEEE Trans. Power Syst.,1995

5. Genetic-based multi-layered perceptions for Taiwan power system short-term load forecasting;Huang;Int. J. Electr. Power Syst. Res.,1996

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