Conditional density forecast of China's energy demand via QRNN model
Year of publication: |
2018
|
---|---|
Authors: | Cao, Shubo ; Xu, Qifa ; Jiang, Cuixia ; He, Yaoyao |
Published in: |
Applied economics letters. - Abingdon : Routledge, ISSN 1350-4851, ZDB-ID 1181036-1. - Vol. 25.2018, 12, p. 867-875
|
Subject: | Artificial neural networks | China | conditional density forecast | Economic forecasting | Energy demand | Energy economics | neural network | QRNN | quantile regression | Quantile regression | Supply & demand | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Energiekonsum | Energy consumption | Regressionsanalyse | Regression analysis | Energieprognose | Energy forecast | Statistische Verteilung | Statistical distribution | Wirtschaftsprognose | Economic forecast | Prognose | Forecast | Theorie | Theory |
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