Forecast Models
Increase Your Profit With Accurate Energy Forecasting.
Get a higher kick back on your investments with high end forecasts. Aiolos Forecast Studio is the complete forecasting studio for energy consumption forecasts and renewable energy sources. Multiple weather forecasts from COAMPS, AROME, WRF, HIRLAM, ETA is included and updated four times a day to always make sure that you have the best possible forecast for your traders.
Model Studio
Custom Model
Aiolos Forecast Studio is not only open for the belonging forecasting models. It fits companies with a existing forecast solution as well. Aiolos connects and import any forecast model or finished forecast made and becomes the hub for the forecast validation and follow up. All forecasts in one place is the key to successful and powerful operations. Users can even create their own models from scratch in the system by using the model creator functionality. Chose what parameters to include and benchmark the model against other ones.
- Parameters - Any
- Input Data - Any
- Weather Models - Any
- Forecast Horizon - Any
- Resolution - Any
- Adaptive - Optional
Electricity
Aiolos/Cilia/Delphi-models
Aiolos Forecast Studio offers models that accurately forecast the electricity demand of one customer, and up to the accumulated demand of a entire country. Advanced algorithms scan incoming historical data and weather forecasts to find correlations between the both. This statistical approach together with manual validation tools assure the user a high end forecast every day. The model is adaptive and retrain itself every time new consumption figures arrive.
Paprameters
Global radiation, wind speed, temperature
Input Data
Historical consumption, data, weather forecasts, weather observations
Weather models included
Coamps, Wrf, Arome, Hirlam, Eta
Forecast Horizon
Short term - 240 hours
Long term - several years
Resolution
Down to 5 minutes
Adaptive
Yes
Gas
Aiolos/Cilia/Delphi-models
The gas models forecast the consumption of gas demand. A statistical approach is made to find the correlation between historical weather forecasts and the consumption outcome.
Paprameters
Global radiation, wind speed, temperature
Input Data
Historical consumption data, weather forecasts, weather observations
Weather models included
Coamps, Wrf, Arome, Hirlam, Eta
Forecast Horizon
Short term - 240 hours
Long term - several years
Resolution
Down to 5 minutes
Adaptive
Yes
District Heating
Nestor-Model
The Nestor-model forecast the demand in any district heating/cooling grid. Utilities using Nestor lower their fuel- and pumping costs since plant controlling supported by automatic forecasts gives a more stabil grid.
Paprameters
Global radiation, wind speed, temperature
Input Data
Historical consumption data, weather forecasts, weather observations
Weather models included
Coamps, Wrf, Arome, Hirlam, Eta
Forecast Horizon
Short term - 240 hours
Resolution
Down to 5 minutes
Adaptive
Yes
Wind Power
Zephyros-Model
The advanced Zephyros-model forecast the production of one wind turbine, and up to the accumulated outcome of a entire country. A statistical approach is made to find the correlation between historical weather forecasts and the production outcome. As an option the model can run with a automatic feed of real time production data from the SCADA to assure the best possible intra-day forecasts. The model is adaptive and retrain itself every time new production figures arrive.
Wind speed, wind direction, temperature, air pressure
Input Data
Technical turbine information, historical production, weather forecasts, availability data, Optional - real time production)
Weather models included
Coamps, Wrf, Arome, Hirlam, Eta
Forecast Horizon
1-240 hours
Forecast Horizon
Up to 240 hours
Resolution
Down to 5 minutes
Adaptive
Yes
Solar PV
Helios-Model
The Helios-model used to forecast utility scale arrays of solar pv. Helios takes in to consideration ecliptic information as well as global radiation and the temperature from five different weather suppliers to correlate with the historical production data. The model is adaptive and retrain itself every time new production figures arrive.
Paprameters
Global radiation, temperature, ecliptic data
Input Data
Technical plant information, historical production, weather forecasts, weather observations
Weather models included
Coamps, Wrf, Arome, Hirlam, Eta
Forecast Horizon
Up to 240 hours
Resolution
Down to 5 minutes
Adaptive
Yes
Hydro Power
Achelous-Model
The Achelous-model forecast run of river activities. Achelous takes in to consideration precipitation and ground absorption for the areas surrounding your hydro plant when it calibrates the forecasting model. The model is adaptive and retrain itself every time new production figures arrive.
Paprameters
Precipation, global radiation, temperature. wind speed, air pressure
Input Data
Topography, technical plant information, historical production, weather forecasts, observed weather
Weather models included
Coamps, Wrf, Arome, Hirlam, Eta
Forecast Horizon
Up to 240 hours
Resolution
Down to 5 minutes
Adaptive
Yes
Contact us
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+46 703 14 44 81
Send us an Email
sales.energy@vitec.se
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