Power consumption prediction with K-nearest-neighbours and XGBoost algorithm Online publication date: Wed, 02-Jan-2019
by Zheng Liu; Qingsheng Kong; Lirong Yang
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 15, No. 4, 2018
Abstract: Power consumption problem is an important part of economic development. Nowadays, power consumption of companies is rocketing as time goes. Power consumption prediction is an essential problem for power companies before supplying power. In this paper, we solve a power consumption prediction problem in Yangzhong High Tech Zone with K-nearest-neighbours and XGBoost algorithm. More importantly, we research on useful features for power consumption problems that can guide power companies to supply appropriate amount of power. It will play an important role in regional construction in future.
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