Short‐term load forecasting based on wavelet neural network with adaptive mutation bat optimization algorithm
Author:
Affiliation:
1. School of Electrical and Electronic EngineeringShandong University of Technology Zibo 255049 Shandong China
2. Zibo Power Supply Company of State Grid Corporation of China Zibo 255000 Shandong China
Funder
National Key Research and Development Program of China
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.22818
Reference21 articles.
1. Research on short term load forecasting of power system;Wang LZ;Advanced Materials Research,2012
2. Machine Learning based short term wind power prediction using a hybrid learning model
3. A new strategy for wind speed forecasting using artificial intelligent methods;Monfared M;Renewable Energy,2008
4. A new method of power system load forecasting based on intelligent optimization algorithm;Cong ZX;Advanced Materials Research,2015
5. Improved pattern sequence-based forecasting method for electricity load
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