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Summary

The reliability of scheduling systems depends heavily on the quality of the forecasts of key external variables (e.g. electricity prices, steam demand). We have developed a rich set of data management tools to allow the user to generate these forecasts and have incorporated them in our Energy Multi-Period Optimizer technology (VM-EMPO), an energy management software for the optimal scheduling of utilities assets. We illustrate its benefits on a district energy system.

Session Track 5D

Speakers

Juan Ruiz, KBC Advanced Technologies