Model and method for power system short-term load forecasting based on integration of information entropy in rough set theory with adaptive neural fuzzy inference system | |
Cheng, Qi-Yun[1]; Sun, Cai-Xin[1]; Zhou, Quan[1]; Lei, Shao-Lan[1]; Zhang, Xiao-Xing[1] | |
2004 | |
卷号 | 28页码:72-75 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3042745 |
专题 | 重庆大学 |
推荐引用方式 GB/T 7714 | Cheng, Qi-Yun[1],Sun, Cai-Xin[1],Zhou, Quan[1],et al. Model and method for power system short-term load forecasting based on integration of information entropy in rough set theory with adaptive neural fuzzy inference system[J],2004,28:72-75. |
APA | Cheng, Qi-Yun[1],Sun, Cai-Xin[1],Zhou, Quan[1],Lei, Shao-Lan[1],&Zhang, Xiao-Xing[1].(2004).Model and method for power system short-term load forecasting based on integration of information entropy in rough set theory with adaptive neural fuzzy inference system.,28,72-75. |
MLA | Cheng, Qi-Yun[1],et al."Model and method for power system short-term load forecasting based on integration of information entropy in rough set theory with adaptive neural fuzzy inference system".28(2004):72-75. |
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