Comparison of data-rich and small-scale data time series models generating probabilistic forecasts : an application to U.S. natural gas gross withdrawals
Year of publication: |
June 2017
|
---|---|
Authors: | Duangnate, Kannika ; Mjelde, James W. |
Published in: |
Energy economics. - Amsterdam : Elsevier, ISSN 0140-9883, ZDB-ID 795279-X. - Vol. 65.2017, p. 411-423
|
Subject: | FAVAR | Prequential forecasting | Probability forecasting | Model selection | Energy forecasting | Zeitreihenanalyse | Time series analysis | USA | United States | Prognoseverfahren | Forecasting model | Energieprognose | Energy forecast |
-
Conformal prediction interval estimation and applications to day-ahead and intraday power markets
Kath, Christopher, (2021)
-
Messner, Jakob W., (2019)
-
Metropolitan econometric electric utility forecast accuracy
Fullerton, Thomas M., (2015)
- More ...
-
Effects of the structural change on transaction costs between North America natural gas spot markets
Duangnate, Kannika, (2017)
-
Changing regional price relationships in retail fresh broiler/fryer whole chicken prices
Duangnate, Kannika, (2023)
-
Duangnate, Kannika, (2021)
- More ...