Comparison of data-rich and small-scale data time series models generating probabilistic forecasts: An application to U.S. natural gas gross withdrawals

• المؤلفون الرئيسيون: Kannika Duangnate, James W. Mjelde
• التنسيق: دورية
• منشور في: 2018
• الموضوعات: Energy; Agricultural and Biological Sciences
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85020824781&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/46790
• المؤسسة: Chiang Mai University

© 2017 Elsevier B.V. Time series models derived from using data-rich and small-scale data techniques are estimated to examine: 1) if data-rich methods forecast natural withdrawals better than typical small-scale data, time series methods; and 2) how the number of unobservable factors included in a d...