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08/07/2023
How to forecast power generation in wind farms? Insights from leveraging hierarchical structure
Forecasting of renewable energy generation provides key insights which m...
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04/27/2023
Detecting inner-LAN anomalies using hierarchical forecasting
Increasing activity and the number of devices online are leading to incr...
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11/24/2022
How to predict and optimise with asymmetric error metrics
In this paper, we examine the concept of the predict and optimise proble...
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11/24/2022
The intersection of machine learning with forecasting and optimisation: theory and applications
Forecasting and optimisation are two major fields of operations research...
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12/23/2021
The value of point of sales information in upstream supply chain forecasting: an empirical investigation
Traditionally, manufacturers use past orders (received from some downstr...
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12/16/2021
Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions
Sales forecasting is the prerequisite for a lot of managerial decisions ...
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05/14/2021
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
Using machine learning in solving constraint optimization and combinator...
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10/21/2020
Model selection in reconciling hierarchical time series
Model selection has been proven an effective strategy for improving accu...
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06/03/2020
Hierarchical forecast reconciliation with machine learning
Hierarchical forecasting methods have been widely used to support aligne...
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12/01/2019
Machine learning applications in time series hierarchical forecasting
Hierarchical forecasting (HF) is needed in many situations in the supply...
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09/28/2019
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
The demand for a particular product or service is typically associated w...
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09/06/2019