China's energy consumption forecasting by GMDH based auto-regressive model

DOI10.1007/s11424-017-6030-yzbMath1419.91553OpenAlexW2772633959MaRDI QIDQ1621112

Yi Hu, Ling Xie, Yi Xiao, Jin Xiao, Heng-Jun Zhao

Publication date: 8 November 2018

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-017-6030-y

zbMATH Keywords

GMDHauto-regressive modelenergy demand predictionsmall sample forecasting

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Economic time series analysis (91B84)

Related Items (1)

GMDH-based outlier detection model in classification problems

Cites Work

• Time series forecasting using a hybrid ARIMA and neural network model
• The necessary and sufficient condition for GM(1, 1) grey prediction model
• A transfer forecasting model for container throughput guided by discrete PSO
• An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection
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