For an energy sales company, the ability to better predict consumption by one of its energy-intensive customers allows them to optimize supply and dispatching by acting in a targeted manner on the basis of requirements, reducing related costs and improving margins. According to the same principle, a consolidated predictive capacity enables the same company in the offering phase to be more competitive in pricing policies, being able to leverage a revised cost thanks to forecasts that allow for synergies at the portfolio level.
This is just one example of the vast spectrum of applications of forecasting and pricing logic in the Energy market.
Thanks to its decades of experience on the market, the continuous exchange with the main players and the domain of modeling and machine learning tools, Power Reply can offer specialized consultancy and digital transformation services aimed at introducing innovative tools such as:
- Use of Machine Learning algorithms for the prediction of operational programming and the trend of electricity and gas requests (starting from energy consumption) to anticipate hedging needs and reduce the risk associated with the pricing model.
- Realization of complex microservice architectures functional to the exposure as a service of pricing engines or "economic valorisers" that can be queried in the offering phase according to a serverless paradigm.
- Implementation in the Trading field of models (eg. ARIMAX, ARIMA, Jump diffusion Fundamental Model, etc. ..) for the forecasting of short-term market pricesStudy and implementation initiatives related to the topic of production in the field of renewable energy such as the Forecast for the Zonal Sign (hourly forecast in D + 1 of the imbalance sign of a macrozone) or the Production Forecast of a plant (impact analysis forecast on wind farm production forecast)