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Geophysical Research Letters, ISSN 0094-8276, 11/2009, Volume 36, Issue 21, p. n/a
A new 46‐year hindcast dataset for seasonal‐to‐annual ensemble predictions has been created using a multi‐model ensemble of 5 state‐of‐the‐art coupled... 
seasonal forecasts | skill | multi‐model ensemble | SYSTEM | GEOSCIENCES, MULTIDISCIPLINARY | COMBINATION | OCEAN | High performance computing | Geophysics | Probability | Mathematics | Atmospheric sciences | Forecasting | Climate science | State of the art | Systematic errors | Skills | Communities | Mathematical models | Dispersions | Circulation
Journal Article
European Journal of Operational Research, ISSN 0377-2217, 10/2017, Volume 262, Issue 1, pp. 60 - 74
•Temporal hierarchies can be used for any time series to improve forecasting.•The proposed methodology is independent of forecasting models.•It results in... 
Hierarchical forecasting | Forecasting | Temporal aggregation | Reconciliation | Forecast combination | ACCIDENT | COMBINATION | OPERATIONALIZING STRATEGY | ACCURACY | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MODELS | TIME-SERIES | UNIVARIATE | AGGREGATION | Decision-making | Models | Multilevel analysis | Analysis | Strategic planning (Business)
Journal Article
Journal of Operations Management, ISSN 0272-6963, 05/2018, Volume 60, Issue 1, pp. 34 - 46
In this paper, we explored how judgment can be used to improve the selection of a forecasting model. We compared the performance of judgmental model selection... 
Decomposition | Behavioral operations | Model selection | Combination | LOGISTICS | ERRORS | MANAGEMENT | PERFORMANCE | INFORMATION | SUPPORT | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMBINE | SYSTEMS | ADJUSTMENTS | Forecasting | Mathematical models | Algorithms
Journal Article
Renewable and Sustainable Energy Reviews, ISSN 1364-0321, 04/2015, Volume 44, pp. 271 - 288
Journal Article
Energy, ISSN 0360-5442, 04/2018, Volume 148, pp. 49 - 58
Forecasting oil prices is an important and challenging matter, because of its impact on many economic and non-economic factors. Because factors such as... 
Crude oil price | Kalman-filter | Hybrid model | Forecasting | NAR | ENSEMBLE LEARNING-PARADIGM | SUPPORT VECTOR MACHINES | MARKET | ENERGY & FUELS | DECOMPOSITION | CRUDE-OIL | TIME | COMBINATION | ARTIFICIAL NEURAL-NETWORKS | THERMODYNAMICS | ARIMA | CONSUMPTION
Journal Article
Energy, ISSN 0360-5442, 08/2014, Volume 72, pp. 434 - 442
STLF (short term electric load forecasting) plays an important role in the operation of power systems. In this paper, a new model based on combination of the... 
Wavelet transform | Short term load forecasting | Particle swarm optimization | Grey model | REGRESSION | THERMODYNAMICS | ENERGY & FUELS | POWER-SYSTEMS | COMBINATION | Models | Algorithms | Mathematical optimization | Analysis | Weather | Wavelet transforms | Climatology | Accuracy | Mathematical models | Swarm intelligence | High frequencies
Journal Article
Energy, ISSN 0360-5442, 09/2018, Volume 158, pp. 774 - 781
Short term electricity load forecasting is one of the most important issue for all market participants. Short term electricity load is affected by natural and... 
IEMD | FOA | Electricity load forecasting | ARIMA | WNN | GRIDS | SUPPORT VECTOR REGRESSION | ENERGY & FUELS | COMBINATION MODEL | DECOMPOSITION | DEMAND | THERMODYNAMICS | OPTIMIZATION ALGORITHM | FRAMEWORK | WAVELET TRANSFORM | Algorithms | Fruit-flies | Neural networks | Electric utilities | Models | Research institutes | Mathematical optimization
Journal Article
Applied Energy, ISSN 0306-2619, 2012, Volume 92, pp. 26 - 37
Journal Article
Energy, ISSN 0360-5442, 04/2017, Volume 125, pp. 591 - 613
Journal Article
Solar Energy, ISSN 0038-092X, 01/2013, Volume 87, Issue 1, pp. 136 - 149
► We use Fourier series to deseason global solar radiation. ► We introduce two models for forecasting deseasoned global solar radiation which are AR(2) and... 
Combination model | Lucheroni model | Time series method | Fixed component | Solar radiation forecasting | CARDS model | ENERGY & FUELS | PREDICTION | Nuclear radiation | Analysis
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 01/2018, Volume 62, pp. 478 - 490
[Display omitted] •We propose a GMDH-based hybrid model to forecast the container throughput.•It first divides the original time series into linear trend and... 
Container throughput forecasting | Hybrid model | Selective combination forecasting | GMDH neural network | GENETIC ALGORITHMS | ENSEMBLE | REGRESSION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PORT THROUGHPUT | PREDICTION | Containers | Neural networks | Forecasts and trends
Journal Article