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Fuzzy grey forecasting model optimized by moth-flame optimization algorithm for short time electricity consumption
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Demand Forecasting of a Company that Produces by Mass Customization with Machine Learning
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Demand Forecasting of a Company that Produces by Mass Customization with Machine Learning
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An Optimized Nonlinear Grey Bernoulli Model for Forecasting the Electricity Consumption During COVID-19 Pandemic: A Case for Turkey
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Improving WRF GHI Forecasts with Model Output Statistics Progress in Clean Energy, Volume 1.
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Parameter optimization for differential equations in asset price forecasting
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Performance Evaluation of the Short Term Forecasting GHI by WRF in Turkey
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Comment on “Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China” by Yuhu Zhang, Huirong Yang, Hengjian Cui, and Qiuhua Chen, in Natural Resources Research DOI: 10.1007/s11053-019-09512-6
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Fuzzy Rule Based Demand Forecasting for Dynamic Pricing
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