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An empirical investigation of water consumption forecasting methods
16 references·1 citing·29 second hop
An empirical investigation of water consumption forecasting methods (2019)An empirical investigation of water consu…The M4 Competition: Results, findings, conclusion and way forward (2018)The M4 Competition: Results, …forecast: Forecasting Functions for Time Series and Linear Models (2009)forecast: Forecasting Functio…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Another look at measures of forecast accuracy (2006)Another look at measures of f…Combination forecasts of output growth in a seven‐country data set (2004)Combination forecasts of outp…The theta model: a decomposition approach to forecasting (2000)The theta model: a decomposit…How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Calculating Interval Forecasts (1993)Calculating Interval ForecastsError measures for generalizing about forecasting methods: Empirical comparisons (1992)Error measures for generalizi…Improved methods of combining forecasts (1984)Improved methods of combining…Long Range Forecasting (From Crystal Ball to Computer). (1981)Long Range Forecasting (From …Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Smoothing, Forecasting and Pr…Forecasting Sales by Exponentially Weighted Moving Averages (1960)Forecasting Sales by Exponent…Forecasting principles and practiceForecasting principles and pr…Prediction of per capita water consumption for 31 regions in China (2021)Prediction of per capita wate…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)A state space framework for automatic forecasting using exponential smoothing methods (2002)Making and Evaluating Point Forecasts (2011)A new metric of absolute percentage error for intermittent demand forecasts (2016)The Combination of Forecasts (1969)Forecasting Using Principal Components From a Large Number of Predictors (2002)Macroeconomic Forecasting Using Diffusion Indexes (2002)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)Forecasting Stock Returns (2013)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Low frequency filtering and real business cycles (1993)An overview of methods for determining OWA weights (2005)Exponential smoothing: The state of the art—Part II (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 Output and Inflation: The Role of Asset Prices (2003)Forecasting: theory and practice (2022)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)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Generalized autoregressive conditional heteroskedasticity (1986)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Some recent development in a concept of causality (1988)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1971Time Series Analysis Forecasting and Control.6,714 cited
  • 2006Another look at measures of forecast accuracy5,736 cited
  • n.d.Forecasting principles and practice4,364 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 1960Forecasting Sales by Exponentially Weighted Moving Averages2,117 cited
  • 1992Error measures for generalizing about forecasting methods: Empirical comparisons1,400 cited
  • 1984Improved methods of combining forecasts1,152 cited
  • 2004Combination forecasts of output growth in a seven‐country data set1,138 cited
  • 1964Smoothing, Forecasting and Prediction of Discrete Time Series.968 cited
  • 2009forecast: Forecasting Functions for Time Series and Linear Models791 cited
  • 2018The M4 Competition: Results, findings, conclusion and way forward634 cited
  • 2000The theta model: a decomposition approach to forecasting507 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 cited
  • 1993Calculating Interval Forecasts364 cited

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1981
Long Range Forecasting (From Crystal Ball to Computer).
357 cited

Cited by

  • 2021Prediction of per capita water consumption for 31 regions in China38 cited