Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting-Reference-Cited by-同舟云学术

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

Published:2020-10 Issue:5 Volume:59 Page:3111-3118
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

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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