Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Forecasting energy consumption using a new GM–ARMA model based on HP filter: The case of Guangdong Province of China

12 references·6 citing·41 second hop

FromToDepth

this work references cited by second hop

References

1997Postwar U.S. Business Cycles: An Empirical Investigation7,358 cited
1978Time Series Analysis: Forecasting and Control.5,395 cited
1982Control problems of grey systems4,534 cited
2009Time series analysis forecasting and control2,614 cited
2009Grey system theory-based models in time series prediction790 cited
2006ARIMA forecasting of primary energy demand by fuel in Turkey626 cited
2004Energy consumption in China: past trends and future directions458 cited
2007Grey prediction with rolling mechanism for electricity demand forecasting of Turkey441 cited
2008A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories163 cited
2012Forecasting nonlinear time series of energy consumption using a hybrid dynamic model96 cited
2007Grey prediction with rolling mechanism for electricity demand forecasting of Shanghai86 cited
2011A new approach to energy consumption prediction of domestic heat pump water heater based on grey system theory65 cited

Cited by

2018Energy intensity and its components in Iran: Determinants and trends74 cited
2019SARIMA damp trend grey forecasting model for airline industry51 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2015

A hybrid statistical approach for stock market forecasting based on Artificial Neural Network and ARIMA time series models

46 cited

2020A Novel Riccati Equation Grey Model And Its Application In Forecasting Clean Energy46 cited

2023Application of Empirical Mode Decomposition and Hodrick Prescot filter for the prediction single step and multistep significant wave height with LSTM32 cited

2020Grey optimization Verhulst model and its application in forecasting coal-related CO2 emissions29 cited