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A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning.

, , , , and . COMPSAC, page 218-227. IEEE, (2021)

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Recent developments in volatility modeling and applications., , and . Adv. Decis. Sci., (2006)Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand., , , and . SSCI, page 28-35. IEEE, (2020)Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting., , , , and . CCECE, page 182-187. IEEE, (2022)Random coefficient GARCH models., , and . Math. Comput. Model., 41 (6-7): 723-733 (2005)A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning., , , , and . COMPSAC, page 218-227. IEEE, (2021)Fuzzy coefficient volatility (FCV) models with applications., , and . Math. Comput. Model., 45 (7-8): 777-786 (2007)More-for-Less Solutions in Fuzzy Transportation Problems, , and . Springer, (2023)Data Driven Approach for Reduced Value at Risk Forecasts in Renewable Power Supply Systems., , and . CCECE, page 1-6. IEEE, (2020)Analyzing Financial Smart Contracts for Blockchain., , , , , and . iThings/GreenCom/CPSCom/SmartData, page 1701-1706. IEEE, (2018)Intelligent Probabilistic Forecasts of Day-Ahead Electricity Prices in a Highly Volatile Power Market., , , and . COMPSAC, page 166-175. IEEE, (2021)