Result description
Portweather forecasts the speed of the wind, hours ahead, based on previously recorded values and other measured parameters. It utilizes a small memory footprint Machine Learning (ML) algorithm, which runs in a low power, low cpu frequency, low memory microcontroller. It produces warnings reports and provides the forecasting values to the i-captain black box user. The data is collected online from an on board weather station and used as input to an advanced Machine Learning Algorithm, which provides Wind Speed prediction for 1-2 hours ahead.
Radical Innovation Breakthrough
Artificial Intelligence.
Addressing target audiences and expressing needs
Our needs are
- Grants and Subsidies
- Collaboration
We specifically need / are looking for
Collaboration and end users.
Target audiences
- Public or private funding institutions
- EU and Member State Policy-makers
- Research and Technology Organisations
- Private Investors
R&D, Technology and Innovation aspects
Result Maturity
5 – Demonstration – System Development (TRL 6-8) See the diagram
Result submitted to Horizon Results Platform by BIBA – BREMER INSTITUT FUER PRODUKTION UND LOGISTIK GMBH
