Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland-Reference-Cited by-同舟云学术

Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland

Published:2017-01-31 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Australasian Computer Science Week Multiconference
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Author:

Yong Binbin¹,Xu Zijian¹,Shen Jun²,Chen Huaming²,Tian Yanshan¹,Zhou Qingguo¹

Affiliation:

1. Lanzhou University, TianShui Road(south), ChengGuan District, LanZhou, GanSu, China

2. University of Wollongong, Northfields Ave, Wollongong NSW, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3014812.3014861

Reference44 articles.

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2. Dagum E. B. 1978. Modelling forecasting and seasonally adjusting economic time series with the X-11 ARIMA method. The Statistician 27 203--216. Dagum E. B. 1978. Modelling forecasting and seasonally adjusting economic time series with the X-11 ARIMA method. The Statistician 27 203--216.

3. Electricity demand in the Chinese urban household-sector

4. Indian power grid collapse-the most serious power outage in the universal history of electric power. <http://news.bjx.com.cn/html/20120801/377308.shtml> {accessed 08.2012}. Indian power grid collapse-the most serious power outage in the universal history of electric power. <http://news.bjx.com.cn/html/20120801/377308.shtml> {accessed 08.2012}.

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