학술논문

Estimation of temporal uncertainty structure of greenhouse gas inventories for selected EU countries
Document Type
Conference
Source
2016 Federated Conference on Computer Science and Information Systems (FedCSIS) Computer Science and Information Systems (FedCSIS), 2016 Federated Conference on. :459-465 Sep, 2016
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Uncertainty
Splines (mathematics)
Smoothing methods
Data models
Global warming
Time series analysis
Parametric statistics
Language
Abstract
The paper addresses the problem of uncertainty in the greenhouse gas emission inventories, by proposing an alternative method for assessing uncertainty and its evolution over time. To estimate the inventory accuracy, the revisions published in consecutive years are used. These revisions are considered nonstationary time series. We describe evolution by time-dependent models, used to analyze data from the National Inventory Reports published annually up to 2015, for selected EU countries. We present a parametric model and a procedure for estimating parameters, along with the results obtained.