Forecasting electricity load with advanced wavelet neural networks-Reference-Cited by-同舟云学术

Forecasting electricity load with advanced wavelet neural networks

Published:2016-03 Issue: Volume:182 Page:118-132
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Rana Mashud,Koprinska Irena

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Load/price forecasting and managing demand response for smart grids;Chan;IEEE Signal Process. Mag.,2012

2. An evaluation of methods for very short-term load forecasting using minute-by-minute British data;Taylor;Int. J. Forecast.,2008

3. Load Forecasting, in Applied Mathematics for Restructured Electric Power Systems: Optimization, Control and Computational Intelligence;Feinberg,2005

4. Neural networks for short-term load forecasting: a review and evaluation;Hippert;IEEE Trans. Power Syst.,2001

5. Short-term electricity demand forecasting using double seasonal exponential smoothing;Taylor;J. Oper. Res. Soc.,2003

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