Short-Term Power Load Forecasting Method Based on Improved Exponential Smoothing Grey Model
Author:
Affiliation:
1. School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China
2. Key Laboratory of Electronic Equipment Structure Design, Ministry of Education, Xidian University, No. 2 South Taibai Road, Xi’an 710071, China
Abstract
Publisher
Hindawi Limited
Subject
General Engineering,General Mathematics
Link
http://downloads.hindawi.com/journals/mpe/2018/3894723.pdf
Reference31 articles.
1. Short-term power load probability density forecasting based on quantile regression neural network and triangle kernel function
2. Short-Term Load Forecasting Model Based on Quantum Elman Neural Networks
3. A Hybrid Model of EMD and PSO-SVR for Short-Term Load Forecasting in Residential Quarters
4. A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm
5. A Hybrid Short-Term Power Load Forecasting Model Based on the Singular Spectrum Analysis and Autoregressive Model
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