Peak load forecasting system based on data mining

Jin Liu; Jilai Yu; Xianglong Tang

Peak load forecasting system based on data mining

Jin Liu^*
, Jilai Yu
, Xianglong Tang

^*Corresponding author for this work

School of Electrical Engineering and Automation

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

This paper analyzes running law of peak load in power system. By the key technology of data mining, the platform of data warehouse is structured, and a system of mixing optimizing algorithm of neural network for peak load forecasting is developed. There is the synthetic technology of fuzzy cluster and L-M neural network together in this system. Excavating the useful knowledge from magnanimity data can offer the effective and accurate predicting information for the peak load.

Original language	English
Pages (from-to)	9-11
Number of pages	3
Journal	Jisuanji Gongcheng/Computer Engineering
Volume	31
Issue number	1
State	Published - 5 Jan 2005

Keywords

Data mining
Fuzzy cluster
Neural network
Peak load forecasting

Cite this

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title = "Peak load forecasting system based on data mining",

abstract = "This paper analyzes running law of peak load in power system. By the key technology of data mining, the platform of data warehouse is structured, and a system of mixing optimizing algorithm of neural network for peak load forecasting is developed. There is the synthetic technology of fuzzy cluster and L-M neural network together in this system. Excavating the useful knowledge from magnanimity data can offer the effective and accurate predicting information for the peak load.",

keywords = "Data mining, Fuzzy cluster, Neural network, Peak load forecasting",

author = "Jin Liu and Jilai Yu and Xianglong Tang",

year = "2005",

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language = "英语",

volume = "31",

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journal = "Jisuanji Gongcheng/Computer Engineering",

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publisher = "Shanghai Jisuanji Xuehui/Shanghai Computer Society",

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AU - Liu, Jin

AU - Yu, Jilai

AU - Tang, Xianglong

PY - 2005/1/5

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N2 - This paper analyzes running law of peak load in power system. By the key technology of data mining, the platform of data warehouse is structured, and a system of mixing optimizing algorithm of neural network for peak load forecasting is developed. There is the synthetic technology of fuzzy cluster and L-M neural network together in this system. Excavating the useful knowledge from magnanimity data can offer the effective and accurate predicting information for the peak load.

AB - This paper analyzes running law of peak load in power system. By the key technology of data mining, the platform of data warehouse is structured, and a system of mixing optimizing algorithm of neural network for peak load forecasting is developed. There is the synthetic technology of fuzzy cluster and L-M neural network together in this system. Excavating the useful knowledge from magnanimity data can offer the effective and accurate predicting information for the peak load.

KW - Data mining

KW - Fuzzy cluster

KW - Neural network

KW - Peak load forecasting

UR - https://www.scopus.com/pages/publications/13944261169

M3 - 文章

AN - SCOPUS:13944261169

SN - 1000-3428

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EP - 11

JO - Jisuanji Gongcheng/Computer Engineering

JF - Jisuanji Gongcheng/Computer Engineering

IS - 1

ER -

Peak load forecasting system based on data mining

Abstract

Keywords

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