Demand Forecasting
Forecasting behind-the-meter solar generation and
electricity load for towns and regions.
What is the Demand Forecasting?
Demand Forecasting for a township or region involves combining behind-the-meter rooftop solar forecasts with gross demand forecasts to provide net demand forecasts that may be used to inform control decisions by the utility generators.
How does Demand Forecasting work?
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Demand Forecasting involves integrating several different data streams:
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Rooftop Solar Forecasts, which rely on:
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Numerical Weather Predictions
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Satellite Images
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Skycam Images (for increased accuracy)
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Live Rooftop Generation data (for increased accuracy)
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Gross Demand Forecasts, which rely on:
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Historic Net Demand estimates
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Historic estimates of behind-the-meter solar
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The Solar Forecast is generated using a physical model of cloud motion across the location, simulating reduced irradiance, and thus reduced generation.
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The Gross Demand Forecast is generated using a Machine Learning approach, based on elements of human behaviour, climate, and time.
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The Net Demand Forecast is then produced by subtracting the Solar Forecast from the Gross forecast.
