About

Wind farms require access to high resolution, high accuracy Meteorological Forecasting, that enables precise prediction of energy production and in turn drive energy trading and maximize their return on assets. We offer fully customized wind and energy forecasts combining the best CFD model, with the best parametrization and enhancing the results further through Deep Learning. Our results have been validated by the best producers in Greece.

Solution & Product

Our solution has two parts. The first is to reach the limits of the Computational Fluid Dynamics model accuracy. The second part is to apply the most start of the art and robust deep learning methods to find patterns after the algorithmic approach has reached it limits. In other words we are training our Neural Nets to understand all the atmospheric process and be able to account for for previous instances of "chaos". Those two are also the subsystems that comprise our forecasting system.

Innovation & Scalability

Our innovation is two pronged. First, we optimize the Computational Fluid Dynamics simulation system and its resolution for wind energy forecasting. Second, we enhance the results further through Deep Learning taking into account the full structure of the troposphere as well as the measurements of the previous day taking into account. Our system is fully scalable as it is cloud based. Furthermore it has been tested globally using measurements taken by the flight computers and loggers of gliders. Testing areas included the Austrian and French Alps and the high desert of Namibia.

Traction & achievements

We already have signed the second agreement with Terna Energy and we are in discussion with 80% of the Greek market in total. Furthermore, we are in preliminary discussion with a 2GW producer in Italy and a French producer with a 4GW investment plan for Greece alone.

Team & Why Us

Our growth strategy is summarized as follows: •3 more agreements closed within the next 12 months •9 customers in the 2nd year •27 customers in the 3rd year Our marketing plan includes the following main approaches: •Visits •Incentives/Compensation plan: % bonus to salesforce for each deal they close •Participation in Conferences/Forums •Leverage existing network •We have a very strong R&D network are already in discussions with large entities with interest in forecasting and supercomputing such as IBM, Bull and numerous prestigious universities. •R&D contacts: Forecasting Groups

Funding Needs

Our funding needs are summarized in the table below. Computerst 20,000 € Other ITt 5,000 € Office bettermentst 10,000 € Cloud t 30,000 € PR & Marketingt 50,000 € HRt 200,000 € G&At 100,000 €