Energy forecasting with high resolution and precision

New unique method for insights into generation, offtake and imbalance risks based on satellite data and AI analysis.

Hundreds of organisations and governments rely on our data

Preventing imbalance in energy procurement and consumption

Energy supply is changing rapidly. The energy grid is becoming more volatile, more decentralised and more difficult to balance. For energy suppliers, grid operators and large customers, it is crucial to get a real-time grip on production and consumption, and the imbalance between them.

Our solution for energy forecasting provides high-resolution insights based on advanced satellite observations, AI analysis and market data. With this, we make accurate forecasts of both generation and consumption down to the district level.

What exactly is energy forecasting?

Predicting supply and demand down to the hourly level.

Our forecasting service combines Earth observation and AI models to realistically forecast production, consumption and congestion. The solution is modular and grows with your data level and operational needs.

What does it deliver?

Energy forecasting offers:

How does NEO's Energy forecasting work?

Step 1

PV detection & generation forecasting

We detect all solar panels in the Netherlands with satellite images. For each PV model, we calculate the expected electricity production on an hourly basis. We thus lay the basis for accurate supply forecasts.

 

Step 2

Consumption forecasting by building

Using satellite imagery and building recognition, we classify the type of building (residential, commercial, industrial, etc.). Thus, we model the expected energy consumption for each location.

 

Step 3

High-resolution imbalance analysis

By combining supply and demand at each measurement point, we map imbalances. At district, street or grid level. For all meters within your portfolio, we provide an accurate prediction of grid load and energy balance.

Step 4

Congestion risk & transformer analysis

We identify all transformers and substations in an area and visualise the risks of congestion. If required, we also integrate GoPacs data for an even sharper analysis of local imbalance.
Step 5

Market and trade optimisation

We provide support for purchasing and trading decisions: from long-term procurement to hourly pre-delivery. By combining market data with our imbalance model, we can produce a realistic Value at Risk analysis and calculate scenarios for optimal trading strategies.

Why NEO?

NEO has been reducing complex spatial data into actionable insights for more than 20 years. With our combination of earth observation, smart AI and domain knowledge, we make risks insightful and manageable.

Domain knowledge & technology

We combine knowledge of energy transition, geodata and AI into insights directly applicable in policy and implementation.

Current Earth observation

With aerial photos and satellite images, we accurately map solar generation and building data down to the building level.

Smart data integration

We link our observations to open data and use AI to build a single coherent picture of demand, supply and grid capacity.

Future-oriented

Our models accommodate scenarios with further growth of solar power and electrification, including in the near future.

Flexible output

From reports to interactive dashboards, we deliver information as you need it, ready for immediate use.

Experienced partner

With 20+ years of experience, we support governments, grid operators and companies with data-driven solutions to spatial issues.

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Discover Energy Forecasting for free and without obligation.

NEO
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