Problem

  • Volatility in the generation of energy by wind and solar results in inaccurate energy forecasts.
  • Discrepancy between energy forecast and generated energy constituts planning, action and usage uncertainties and is therefore a strong cost driver on various levels. 
  • Costs arise from inaccurate forecasts for all market participants.
  • Forecasts with a high accuracy are important for an efficient and economic use of renewable energies.

Solution

A precise energy forecast for renewable energies (wind, solar) in order to optimize the trade and usage of energy.

NAECO Blue is developing a feed-in forecast for energy from wind and sun. With the support of artificial intelligence and a large number of environmental and plant data the software creates precisely feed-in forecasts. The information obtained from this is made available to customers in the form of a “data as a service” model. This increases the cost-effectiveness, efficiency and planning security of the customers and offers them significant added value.

In this way, NAECO Blue makes an important contribution to the more economical and sustainable energy transition.

Impacts of feed-in forecasts

Minimize Costs

Intelligent energy use 


Increase Profit

Monetising generated energy more efficiently 

Reduce CO2
emissions

Climate friendly energy is politically and socially desired 

Added Value

All market participants benefit from an accurate forecast solution

Producer

Efficient commercialization

Plant dimensioning

Maintenance planning

Intelligent energy usage 

Trader

Benefit from forecast accuracy

Competitive advantage due to higher predictability

Reliable data cause safer trades 

Consumer

Consume and procure when the price is low

Predictable electricity procurement

Efficient energy-autonomous systems 

Application Possibilities 


B2B

Direct sales
Energy-portfolio optimization
Plant planning
Electrical grid planning
Self-sufficient companies
Energy storage
Energy conversion
Smart grid
Maintenance planning 


B2C

Electromobility
Self-consumption
Energy-autonomous systems
Sufficient smart homes 

Energy industry Germany 2019 January to November

550

Electricity Demand 
[TWh]

237

Share of renewable energies 
[TWh]

   160

Shares wind, solar [TWh]

    7.5

Forecasting error [TWh]

Address

NAECO Blue GmbH
Amselweg 5
23611 Bad Schwartau
Gemany