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Forecasting container throughput of major Asian ports using the Prophet and hybrid time series models
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Forecasting container throughput of major Asian ports using the Prophet and hybrid time series models (2023)Forecasting container throughput of major…Forecasting: theory and practice (2022)Forecasting: theory and pract…Forecasting container throughput with long short-term memory networks (2019)Forecasting container through…GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries (2017)GMDH-based hybrid model for c…Forecasting at Scale (2017)Forecasting at ScaleData characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology (2017)Data characteristic analysis …Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study (2013)Hybrid approaches based on LS…A comparison of univariate methods for forecasting container throughput volumes (2009)A comparison of univariate me…Adaptive combination of forecasts with application to wind energy (2008)Adaptive combination of forec…Another look at measures of forecast accuracy (2006)Another look at measures of f…To combine or not to combine: selecting among forecasts and their combinations (2004)To combine or not to combine:…COMBINING FORECASTING PROCEDURES: SOME THEORETICAL RESULTS (2004)COMBINING FORECASTING PROCEDU…Principles of Forecasting (2001)Principles of ForecastingCombining Forecasts (2001)Combining ForecastsThe Combination of Forecasts (1969)The Combination of ForecastsForecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…Forecasting principles and practiceForecasting principles and pr…Time Series Analysis: Forecasting and Control (1977)Journal of the American Statistical Association (1995)Inference on Predictability of Foreign Exchange Rates via Generalized Spectrum and Nonlinear Time Series Models (2003)Oil price increases and the predictability of equity premium (2019)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Forecasting realized volatility in a changing world: A dynamic model averaging approach (2015)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)Forecast combinations: An over 50-year review (2022)Fuzzy sets (1965)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2022)Forecast evaluation for data scientists: common pitfalls and best practices (2022)Construct validity in psychological tests. (1955)Combining forecasts: A review and annotated bibliography (1989)A practical guide to structured expert elicitation using the IDEA protocol (2017)Corn cash price forecasting with neural networks (2021)Time series forecasting using a hybrid ARIMA and neural network model (2003)25 years of time series forecasting (2006)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)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)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Expert Opinions in Forecasting: The Role of the Delphi Technique (2001)Consensus measurement in Delphi studies (2012)Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods (2012)Fake news on Twitter during the 2016 U.S. presidential election (2019)The good, the bad and the ugly on COVID-19 tourism recovery (2020)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)
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  • 2019Forecasting container throughput with long short-term memory networks83 cited
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Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology
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