SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting daily meteorological time series using ARIMA and regression models
4 references·2 citing·18 second hop
Forecasting daily meteorological time series using ARIMA and regression models (2018)Forecasting daily meteorological time ser…Forecasting with Exponential Smoothing : The State Space Approach (2008)Forecasting with Exponential …Another look at measures of forecast accuracy (2006)Another look at measures of f…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…What is the best RNN-cell structure to forecast each time series behavior? (2022)What is the best RNN-cell str…Demand Forecasting for Multichannel Fashion Retailers by Integrating Clustering and Machine Learning Algorithms (2021)Demand Forecasting for Multic…Applications of improved grey prediction model for power demand forecasting (2003)Performance of state space and ARIMA models for consumer retail sales forecasting (2015)A new metric of absolute percentage error for intermittent demand forecasts (2016)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Testing for a Unit Root in Time Series Regression (1988)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting (2024)Automatic Time Series Forecasting: The forecast Package for R (2008)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Exponential smoothing: The state of the art (1985)25 years of time series forecasting (2006)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)A note on the validity of cross-validation for evaluating autoregressive time series prediction (2017)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)An optimized model using LSTM network for demand forecasting (2020)
this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 2006Another look at measures of forecast accuracy5,736 cited
  • 1960Forecasting Sales by Exponentially Weighted Moving Averages2,117 cited
  • 2008Forecasting with Exponential Smoothing : The State Space Approach818 cited

Cited by

  • 2022What is the best RNN-cell structure to forecast each time series behavior?68 cited
  • 2021Demand Forecasting for Multichannel Fashion Retailers by Integrating Clustering and Machine Learning Algorithms33 cited

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