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.

Paprameters

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