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POWER TO THE PEOPLE Use your data for a better forecast for yourself and society. TREND Solar panels Solar parks 1500 MWp 6000 – 9000 MWp CONVENTIONAL SOLAR FORECASTING METHODS iCarus creates a unique forecast by combining data from an entire network of solar energy systems, enabling a more accurate short term forecast, both locally and globally. THE ICARUS FORECAST 2025 + 15:00 2010 2015 2020 2005 Amount Watt IMBALANCE Current forecasting methods use weather forecasts to create an output forecast. This is a very time consuming process with few data points on the ground and many assumptions (interpolation, conversion to power curve...). This method leads to a forecast error, which in turn leads to higher imbalance cost. Incidentally, the forecast error increases significantly with locality. ICARUS DELIVERS A MORE ACCURATE, LOCAL AND TOPICAL FORECAST. The rapid increase in installed MWp already causes local challenges in grid management. With the increase in number of installed systems, the number of sensors for iCarus’ method also increases, positively influencing our accuracy. 26 6:00 18:00 Output forecast 15:00 Watt 6:00 18:00 Actual output Forecast error 15:00 Watt 6:00 18:00 Radboud University 200.000+ DATA POINTS SOLAR PANEL SYSTEMS 15:00 Watt 6:00 18:00 Forecast error WEATHER STATIONS + SATELLITE DATA JOINT OPEN SOURCE ALGORITHM DEVELOPMENT

DATA POINTS SOLAR PANEL SYSTEMSO THE PEOPLE ta for ecast. TREND Solar panels s p 6000 –p TING METHODS e te. T 25 + 0 5 10 15 20 t t IMBALANCE ecasting methods use te an output his

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Page 1: DATA POINTS SOLAR PANEL SYSTEMSO THE PEOPLE ta for ecast. TREND Solar panels s p 6000 –p TING METHODS e te. T 25 + 0 5 10 15 20 t t IMBALANCE ecasting methods use te an output his

POWER TO THE PEOPLE Use your data fora better forecastfor yourself and society.

TREND

Solar panels

Solar parks

1500 MWp

6000 – 9000 MWp

CONVENTIONAL SOLAR FORECASTING METHODS

iCarus creates a unique forecast by combining data from an entirenetwork of solar energy systems, enabling a more accurateshort term forecast, both locally and globally.

THE ICARUS FORECAST

2025+

15:00

2010 2015 20202005

Am

ount

Wat

t

IMBALANCECurrent forecasting methods useweather forecasts to create an output forecast. This is a very time consuming process with few data points on theground and many assumptions(interpolation, conversion to powercurve...). This method leads to aforecast error, which in turn leads tohigher imbalance cost.

Incidentally, the forecast error increases significantly with locality.

ICARUS DELIVERSA MORE ACCURATE, LOCAL AND

TOPICAL FORECAST.

The rapid increase in installedMWp already causes local challenges in grid management.

With the increase in numberof installed systems, the numberof sensors for iCarus’ methodalso increases, positivelyinfluencing our accuracy.

26 6:00 18:00

Output forecast

15:00

Wat

t

6:00 18:00

Actual output

Forecast error15:00

Wat

t

6:00 18:00

RadboudUniversity200.000+

DATA POINTSSOLAR PANELSYSTEMS

15:00

Wat

t

6:00 18:00

Forecast error

WEATHERSTATIONS+ SATELLITEDATA

JOINT OPEN SOURCEALGORITHM DEVELOPMENT