Select what fit you better
Use our technology to fulfil your specific weather analytics developments by customizing the delivered solution.
CONTACT US
Design
Define needs, goals and scope of the project.
Implementation
Collect, clean and process all available data. Forensic Analysis. Implementation of the final solutions.
Operation
Commissioning of the operative solution.
Case Study:
TSO Weather Analytics Dashboard
Objectives
- Develop specific predictive models for all solar photovoltaic and wind power plants all around the country.
- Predictive model for country level demand load.
- Implement a methodology for dynamic calculation of the spinning reserves.
- Develop a tailored installable software on clients’ servers working on an internal secure network.
Data
- Details from all wind & Solar sites (location, power, features).
- Historic generation data plant by plant.
- Have more control on assets based on upcoming weather events.
- Country Level demand load, and historic forecast and measured meteorologic data.
Analytics
- Development of automatic algorithms to collect needed data, forecast generation & demand and optimisation of spinning reserves for all the power grid systems in 5 countries.
- Analytic models, neural networks, gradient boosting and random forest.
Business
- Total control of renewable energy generated all around the country.
- Optimise available spinning reserves.
- Improve power grid stability.
RESULTS
- Installable solution on a highly secure network.
- Data visualisation using a complete customised dashboard
- Increase observability of renewable sources generation.
- Improvement of the forecasting quality / accuracy.
- Optimisation of the available spinning reserves.
Case Study:
Ice on wind turbines
Objectives
- Avoid damage to the trackers.
- Avoid expensive repairs by O&M teams.
- Have more control on assets based on upcoming weather events.
- Increase workers' safety.
Data
- Avoid damage to the trackers.
- Avoid expensive repairs by O&M teams.
- Have more control on assets based on upcoming weather events.
- Increase workers' safety.
Analytics
- Avoid damage to the trackers.
- Avoid expensive repairs by O&M teams.
- Have more control on assets based on upcoming weather events.
- Increase workers' safety.
Business
- Avoid damage to the trackers.
- Avoid expensive repairs by O&M teams.
- Have more control on assets based on upcoming weather events.
- Increase workers' safety.
RESULTS
Avoid damage to the trackers.
Avoid expensive repairs by O&M teams.
Have more control on assets based on upcoming weather events.
Increase workers' safety.