A Hybrid Optimization Grey Model based on Segmented GRA and Multi-strategy Contest for Short-term Power Load Forecasting

Jin Min; Zhou Xiang; Zhang Zhiming; Manos M. Tentzeris

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A Hybrid Optimization Grey Model based on Segmented GRA and Multi-strategy Contest for Short-term Power Load Forecasting

机译：基于分段GRA和多策略竞赛的混合优化灰色模型用于短期电力负荷预测

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In this paper, a hybrid grey model with both internal and external optimization is proposed to forecast the short-term power load which has the characteristics of nonlinear fluctuation and random growth. The internal optimization consists of modeling feasibility test and parameter a correction. The external optimization includes three aspects. First, the original series are selected from different viewpoints to construct different forecasting strategies. Second, the predicted day is divided into several smooth segments for separate forecasting. Finally, the different forecasting strategies are implemented respectively in the different segments through grey correlation contest. A practical application verifies that the proposed model has a higher forecasting accuracy and the independency on the choice of initial value.

机译：本文提出了一种具有内部和外部优化双重功能的混合灰色模型，以预测具有非线性波动和随机增长特征的短期电力负荷。内部优化包括建模可行性测试和参数校正。外部优化包括三个方面。首先，从不同的角度选择原始序列，以构建不同的预测策略。其次，将预测天数分为几个平滑段以分别进行预测。最后，通过灰色关联竞赛分别在不同的细分市场中实施了不同的预测策略。实际应用验证了该模型具有较高的预测精度，并且与初始值的选择无关。

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来源
《The Journal of grey system》 |2012年第1期|共14页
作者
Jin Min; Zhou Xiang; Zhang Zhiming; Manos M. Tentzeris;
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正文语种 eng
中图分类数学;
关键词
Short-term power load forecasting; Hybrid grey model; External optimization; Segmented grey correlation; Multi-strategy contest; Parameter a correction;

机译：短期电力负荷预测;混合灰色模型;外部优化;分段灰色关联;多策略竞赛;参数修正;

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专利

1. A Hybrid Optimization Grey Model based on Segmented GRA and Multi-strategy Contest for Short-term Power Load Forecasting [J] . Jin Min, Zhou Xiang, Zhang Zhiming, The Journal of grey system . 2012,第1期

机译：基于分段GRA和多策略竞赛的混合优化灰色模型用于短期电力负荷预测
2. A Short-Term Load Forecasting Model with a Modified Particle Swarm Optimization Algorithm and Least Squares Support Vector Machine Based on the Denoising Method of Empirical Mode Decomposition and Grey Relational Analysis [J] . Dongxiao Niu, Shuyu Dai Energies . 2017,第3期

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3. A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm [J] . He Feifei, Zhou Jianzhong, Feng Zhong-kai, Applied Energy . 2019,第MARa1期

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4. A Combined Model for Short-term Load Forecasting Based on Neural Network and Grey Wolf Optimization [C] . Yiwen Liang IEEE Advanced Information Technology, Electronic and Automation Control Conference . 2017

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5. A generalized ANN-based model for short-term load forecasting. [D] . Drezga, Irislav. 1996

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6. A VVWBO-BVO-based GM (1,1) and its parameter optimization by GRA-IGSA integration algorithm for annual power load forecasting [O] . Lianhui Li, Hongguang Wang 2012

机译：基于VVWBO-BVO的GM（1,1）及其基于GRA-IGSA集成算法的参数优化，用于年度电力负荷预测
7. Short-Term Power Load Forecasting Method Based on Improved Exponential Smoothing Grey Model [O] . Jianwei Mi, Libin Fan, Xuechao Duan, 2018

机译：基于改进指数平滑灰色模型的短期功率负荷预测方法

A Hybrid Optimization Grey Model based on Segmented GRA and Multi-strategy Contest for Short-term Power Load Forecasting

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