Background
The reordering strategy of spare parts for the maintenance of production facilities must take into account parameters characterized by high variability in terms of time and cost.
Energy&Utilities
Predictive analytics for not going out-of-stock
Solution
Predictive analysis system to have much more accurate and no longer overestimated reorder forecasts, as well as less material waste and thus cost optimization.
Results
Reorder forecasts not overestimated, hence reduction in out-of-stock parts, increase in spare part requirements, and significant reduction in lead time.
Managing imbalance risk intelligently
Background
Energy buying and selling activities, in the wholesale market, are characterized by daily financial uncertainty. It is crucial to set up imbalance risk management, which can calculate the macrozonal sign imbalance parameter.
Solution
The developed solution was based on ML and DL techniques and is capable of making hourly predictions and training incremental models.
Results
Hourly forecasting and optimization of the macrozonal sign imbalance prediction process.
