Concept
Forecast error
Related lectures (32)
Demand Forecasting: Model Initiation
Explores demand forecasting through model initiation, including trend identification, seasonal components, and base level determination, to validate and monitor forecast errors.
Forecast and Demand Analysis
Explores models for prediction, collaborative Sales and Operations Planning, supply chain management, and inventory optimization.
Time Series: Forecasting and Long Memory
Explores forecasting in time series analysis, long memory processes, and ARCH models for volatility modeling.
Demand Management Optimization
Covers demand management optimization, focusing on forecasting methods and model initiation.
Time Series Forecasting: ARMA Models
Covers ARMA models for time series forecasting, discussing implications, properties of forecast error, challenges with predictions, and covariance models.
ConsO2 Calibration and Data Analysis
Covers the calibration and data analysis process for ConsO2 measurements, including input file selection and data interpretation.
Supply Chain Management: Challenges & Solutions
Explores challenges in supply chain management and the importance of continuous improvement.
Operation of Distributed Energy Storage Systems
By the instructor Mario Paolone explores the challenges and solutions of integrating distributed energy storage systems into power grids.
Forecasting & Long Memory: Time Series
Explores forecasting methods and long memory in time series analysis.
Demand Forecasting Methods
Explores demand forecasting steps and the Holt-Winter model for time series analysis.