Meter To Market

FORECAST Integration, Peer to peer

This process allows for an optimised and fully automated market strategy.

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Meter to Market approach - Forecast enviroment

FORECAST enviroment

Approach
METER TO MARKET (M2M)

FORECAST environment is able to integrate end-to-end and continuously with the power plant on the one hand and the electricity market on the other hand to optimise the market strategy in an automated way.

What are the benefits of M2M integration?

  • Allows automatic selection of the best algorithm for each plant.
  • Reduction of individual plant deviations.
  • More robust generation portfolio behaviour.
  • Automatic scheduling for of measurements and forecast deliveries.
  • Optimization of the trading strategy for sending bids to the electricity market.
  • Curtailments automatic management.

This M2M Paradigm allows, in an automated way, to send to our trading system the best algorithm option for each plant, thus optimizing the market strategy.

Meter-to-Market-approach
Energy Forecast benchmarking algorithm

Continuous Bechmarking examines the algorithm of different suppliers and chooses the best option for each plant.

This forecast/plant customisation significantly reduces deviations and thus reduces the risk of the entire plant portfolio, resulting in a much more robust forecasting service.

The combination of forecasting algorithms is composed of a series of multilevel algorithms with different characteristics, ranging from theoretical models capable of generating forecasts without historical metered energy data, to advanced machine learning based models trained on continuous streams of plant production data.

FORECAST continuously evaluates the drift trend of each available algorithm ensuring that the best option is always delivered to the client/market.

ALGORITHMBest in class

Continuous-benchmarking

Continuous benchmarking allows us to state that our set of algorithms is the best-in-class among all forecasting providers in the market.

Achieve an optimised marketing strategy

1

OPTIMAL ALGORITHM PER PLANT

Allows automatic selection of the optimal algorithm for each plant.

2

IMBALANCE REDUCTION

Reduction of individual plant deviations.

3

MORE EFFICIENT PORTFOLIO

More robust generation portfolio behaviour.

4

DELIVERY AUTOMATION

Automatic scheduling for of measurements and forecast deliveries.

5

MARKET STRATEGY OPTIMIZATION

Automatic scheduling for of bid deliveries.

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