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Forecasting time series with multiple seasonal patterns
8 references·14 citing·33 second hop
Forecasting time series with multiple seasonal patterns (2007)Forecasting time series with multiple sea…Exponential smoothing: The state of the art—Part II (2006)Exponential smoothing: The st…A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Forecasting, Structural Time Series Models and the Kalman Filter (1990)Forecasting, Structural Time …Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis, Forecas…Statistical Forecasting for Inventory Control. (1960)Statistical Forecasting for I…Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…Complex exponential smoothing (2022)Complex exponential smoothingTime Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model (2021)Time Series Analysis and Fore…Exponential Smoothing on Modeling and Forecasting Multiple Seasonal Time Series: An Overview (2021)Exponential Smoothing on Mode…A Bayesian approach for predicting food and beverage sales in staff canteens and restaurants (2021)A Bayesian approach for predi…Temporal hierarchies with autocorrelation for load forecasting (2019)Temporal hierarchies with aut…Bayesian Online Prediction of Change Points (2019)Bayesian Online Prediction of…Effective Short-Term Forecasting for Daily Time Series with Complex Seasonal Patterns (2018)Effective Short-Term Forecast…The impact of special days in call arrivals forecasting: A neural network approach to modelling special days (2016)The impact of special days in…Forecasting intraday call arrivals using the seasonal moving average method (2016)Forecasting intraday call arr…Optimizing Logistics Processes in Cash Supply Chains (2014)Optimizing Logistics Processe…Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing (2011)Forecasting intraday time ser…Forecasting correlated time series with exponential smoothing models (2010)Forecasting correlated time s…Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles (2010)Exponentially weighted method…Travel time prediction for the planning of mass transit companies: a machine learning approach (2008)Travel time prediction for th…Exponential smoothing: The state of the art (1985)Telephone Call Centers: Tutorial, Review, and Research Prospects (2003)CAViaR (2004)Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales (2022)Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting seasonals and trends by exponentially weighted moving averages (2004)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)Artificial intelligence applications in supply chain management (2021)Forecasting: theory and practice (2022)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Forecasting methods and applications (1993)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)A new metric of absolute percentage error for intermittent demand forecasts (2016)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Another look at measures of forecast accuracy (2006)Understanding forecast reconciliation (2021)Probabilistic forecast reconciliation: Properties, evaluation and score optimisation (2022)Forecast reconciliation: A review (2023)The Savings Investment and Valuation of a Corporation (1962)Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)ARMA Models and the Box-Jenkins Methodology (1997)Principles of forecasting : a handbook for researchers and practitioners (2001)The politics of attention: how government prioritizes problems (2006)Long memory relationships and the aggregation of dynamic models (1980)Understanding spurious regressions in econometrics (1986)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Handbook on Constructing Composite Indicators (2005)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)
this work references cited by second hop

References

  • 1978Time Series Analysis: Forecasting and Control.5,299 cited
  • 1990Forecasting, Structural Time Series Models and the Kalman Filter4,101 cited
  • 1971Time Series Analysis, Forecasting and Control.2,771 cited
  • 1960Forecasting Sales by Exponentially Weighted Moving Averages2,117 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 2002A state space framework for automatic forecasting using exponential smoothing methods1,074 cited
  • 2006Exponential smoothing: The state of the art—Part II953 cited
  • 1960Statistical Forecasting for Inventory Control.831 cited

Cited by

  • 2010Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles92 cited
  • 2019Temporal hierarchies with autocorrelation for load forecasting86 cited
  • 2011Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing85 cited
  • 2010Forecasting correlated time series with exponential smoothing models56 cited
  • 2021Exponential Smoothing on Modeling and Forecasting Multiple Seasonal Time Series: An Overview53 cited
  • 2016The impact of special days in call arrivals forecasting: A neural network approach to modelling special days47 cited

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

  • 2018Effective Short-Term Forecasting for Daily Time Series with Complex Seasonal Patterns41 cited
  • 2016Forecasting intraday call arrivals using the seasonal moving average method40 cited
  • 2021A Bayesian approach for predicting food and beverage sales in staff canteens and restaurants40 cited
  • 2022Complex exponential smoothing37 cited
  • 2021Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model35 cited
  • 2008Travel time prediction for the planning of mass transit companies: a machine learning approach21 cited
  • 2014Optimizing Logistics Processes in Cash Supply Chains20 cited
  • 2019Bayesian Online Prediction of Change Points16 cited