Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting

Author:

Wu Fei,Cattani Carlo,Song Wanqing,Zio Enrico

Funder

Science and Technology Commission of Shanghai Municipality

Natural Science Foundation of Shanghai

Publisher

Elsevier BV

Subject

General Engineering

Reference37 articles.

1. A hybrid dynamic and fuzzy time series model for mid-term power load forecasting;Lee;Int. J. Electr. Power Energy Syst.,2015

2. A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm;Hu;Neurocomputing,2017

3. Very Short-Term Load Forecasting: Wavelet Neural Networks With Data Pre-Filtering;Guan;IEEE Trans. Power Syst.,2013

4. Multifractional Brownian Motion and Quantum-Behaved Particle Swarm Optimization for Short Term Power Load Forecasting: An Integrated Approach;Song;Energy,2020

5. A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids;Liu;Appl. Energy,2014

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