Forecast Booster with unprecedented accuracy
NET2GRID provides utilities and grid operators tools to boost their forecast on aggregated energy demand loads with industry leading accuracy. Our solution optimizes portfolio demand planning and grid management resulting in reduced costs and therefor lower prices for your end users. We build detailed bottom-up models to capture every intricacy in your demand shape.
The business value calculation includes savings from
long-term load forecasting
short-term load forecasting
long-term load & price forecasting
5GW is the peak load of a typical medium-sized utility.
Forecast every application
With the growth of residential rooftop PV, electric vehicles, and extreme weather events, retail load curves are more volatile than ever. Demand and supply can no longer be planned. But they can be short-term forecasted, and their flexibility can therefore be managed.
Traditional forecasting models take historical DSO demand data and standard consumption profiles combined with weather data into account, however these models have no deeper insights of why residential demand profiles change compared to standard demand profiles.
NET2GRID's data science team combines more granular data sources. These sources include standard smart meter data to generate aggregated short & long term predictions using behind the meter demand and PV production forecasts with the highest accuracy available in the market today.
With our +10 years of residential energy data expertise we routinely reduce our customer’s MAPE from 6-10% down to 1.9%, saving them millions on procurement.
Our algorithms predict growth indexes of residential solar production, heat pump and EV electricity demand mapped to your whole user base. We help you forecast exactly when residential demand (and PV production) outliers & spikes are going to happen so you are better and faster informed to adjust the Forecast Correction Factors for the standard demand profiles.
Our demand planning algorithms use
Local weather data
Smart meter data
Our demand forecasting services
We forecast aggregated Intraday energy demand in real-time for the next hours based on historic 15-minute data samples from
residential consumption data.
We forecast aggregated Day-ahead energy demand based on 15–60 minute residential consumption data.
We forecast aggregated weekly, monthly, and yearly energy demand based on daily residential smart meter consumption data.
Get in touch with our
experts to learn more about
our forecasting services.
Free white paper
Learn why utilities and grid operators adapt technology
to reduce costs and engage customers.
Download our free whitepaper and discover:
Opportunities of real-time forecasting
Load forecasting technology
Forecasting of peaks and “Consumption spikes.”
Successful business cases
Why it is time to invest in accurate forecasting
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You own your customer data