Statistical model for forecasting uranium prices to estimate the nuclear fuel cycle cost

This paper presents a method for forecasting future uranium prices that is used as input data to calculate the uranium cost, which is a rational key cost driver of the nuclear fuel cycle cost. In other words, the statistical autoregressive integrated moving average (ARIMA) model and existing enginee...

Full description

Saved in:
Bibliographic Details
Published in:Nuclear engineering and technology 2017, 49(5), , pp.1063-1070
Main Authors: Kim, Sungki, Ko, Wonil, Nam, Hyoon, Kim, Chulmin, Chung, Yanghon, Bang, Sungsig
Format: Article
Language:English
Subjects:
ARIMA Model
Cost Driver
Forecasting
Nuclear Fuel Cycle Cost
Uranium Price
원자력공학
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!