@inproceedings{dd363d9c923240a1be2a3a15ed1af97a,
title = "Short-term load forecasting system using data mining",
abstract = "In this paper, by means of data mining techniques, a platform of data warehouse is designed after preprocessing the huge amounts original data of power system, and a system for short term load forecasting (STLF) is developed, in which there is the synthetic technology of both fuzzy clustering and robust regression model in the platform. The useful data excavated from large amounts of data can offer the effective and accurate load forecasting information for reliable and economic operation of power systems. The validity of the designed system for STLF is shown by the simulation results of an actual power system in China.",
keywords = "data mining, data warehouse, fuzzy clustering, load forecasting, robust regression",
author = "Jin Liu and Jilai Yu",
year = "2011",
language = "英语",
isbn = "9781467300001",
series = "Proceedings of 2011 17th International Conference on Automation and Computing, ICAC 2011",
pages = "183--188",
booktitle = "Proceedings of 2011 17th International Conference on Automation and Computing, ICAC 2011",
note = "2011 17th International Conference on Automation and Computing, ICAC 2011 ; Conference date: 10-09-2011 Through 10-09-2011",
}