THE ACCURACY OF MARKET OFFERS
Allows to progressively improve the accuracy of the bids by comparing real data and the gap between real data and forecast sources.
Prevent penalties by submitting offers to the market based on accurate information
The electric market penalises economically the deviations in the electric production.
For this reason it is essential for any producer of electric energy coming from renewable sources to generate market offers as accurately as possible by reducing the deviations and therefore by avoiding economic penalisations.
The Production schedule module of EM Suite allows to generate and send offers to the electric market considering the manual production program, the external weather forecast sources, the tasks of operation and maintenance that have been foreseen and the limitations set out by the System Operator
Submit offers based on accurate information
The saving is achieved by minimising the economic penalizations due to production deviations:
The market offers are based on aggregate information considering the manual production program, the most recent weather forecast, O&M unavailability and the limitations set out by TSO
An improvement on the estimates is achieved by mean of the feedback generated by the prediction models based on real production information.
Compatible with multiple prediction sources and it prioritizes those sources best suiting for each installation in a specific market.
OPTIMIZATION OF THE MAINTENANCE SCHEDULE
Information on the production forecast for the following days can be centralized. This results in an optimized schedule that includes activities related to maintenance on the installations
Enel Green Power is the company of the Enel Group in charge of developing and managing the energy generation activities from renewable sources on an international level.
Enel Green Power has an installed capacity of 8,943 MW with more than 750 production sites in 16 countries and a generation mix that includes the wind, solar, hydroelectric, geothermal and biomass power.