Adaptive filter and improved gray predictive model based multi-model predictive method and its application in quarter load forecasting
被引:0
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作者:
Yan, Jun
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h-index: 0
机构:
East China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R ChinaEast China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China
Yan, Jun
[1
]
Zhao, Chengwang
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机构:
East China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R ChinaEast China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China
Zhao, Chengwang
[1
]
Gu, Xingsheng
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h-index: 0
机构:
East China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R ChinaEast China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China
Gu, Xingsheng
[1
]
机构:
[1] East China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China
power load forecasting;
adaptive filter;
Grey Model;
exponent smoothing;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Based on adaptive filter model and optimized GM(1,1) model,a new method-Combined multi model of optimized GM(l,1) and adaptive filter-is introduced, which exponent smoothing the history data and dived the history data according to its time property to gain the better result. Simulation results demonstrate the effectiveness of the model and the feasibility of the proposed algorithm.