Application of Regression Models on Hydropower Plants Using Numerical and Computational Simulations

被引：0

作者：

Kyung, Richard ^{[1
]}

Kyung, Sco Young ^{[1
]}

Ko, Youngseo ^{[1
]}

Kim, Claire ^{[1
]}

Han, Seung Beom ^{[1
]}

Han, Ji Ho ^{[1
]}

Yang, Julia ^{[1
]}

机构：

[1] Choice Res Grp, Cresskill, NJ 07626 USA

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) | 2016年

关键词：

hydropower plants; regression analysis; energy; computer simulations;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

With climate change, there is a higher possibility of drought. Drought is a critical threat to energy generation, specifically to the typical reusable energy source; hydropower in the Northeastern region in the USA, a region that relies heavily on hydropower. In order to draft mitigation strategies for the drought problem in the regions, we present 75% and more of monthly net electricity generation variations in the time frame of 2001 to 2010. Through various regression model that examine 32 out of 39 hydropower plants, we project future electricity generation levels in PNW using future discharge and climate data.

引用

页码：1097 / 1101

页数：5

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