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Renewable Energy Production and Load Forecasting

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AI-based energy prediction using meteorological models and historical data

Page last modified
Saturday, August 6, 2022 - 19:38

ENFOR offers market-leading energy forecasting and optimization solutions for the energy sector. Transmission and distribution system operators, utilities, asset owners and traders use ENFOR solutions for forecasting of renewable energy production, electricity and heat demand as well as optimization of district heating systems.
 

The solution is a self-learning and self-calibrating system based on machine learning that uses weather forecasts and historical demand data to automatically produce highly accurate electricity production and load forecasts.


The software system delivers predictions for a wide variety of operational horizons (ranging from a few minutes up to a couple of weeks ahead of time) and has a long track record of producing forecasts for assets in almost any condition.

Pro/con

Easy and inexpensive to install, maintain and operate
Minimal interference and interaction required from the client
Reliable and stable system with a proven operational track record
Automatic and highly accurate forecasts
Minimal analytical understanding of data needed
Tailor-made price structure based on configuration difficulty

Specification

Areas of Application The system is configurable for several types of renewable power generation technologies including solar, wind and hydro power (by water inflow), moreover load forecasting.
Machine Learning The technology is a self-learning and self-calibrating system that is able to learn from patterns in the historical data and the continuously received near real-time data as it recalibrates after each data receival.
Historical Data Processing The inputs for the forecasts are historical and near real-time (online/live) production data and numerical weather prediction models, but the system is capable to forecast for newly built sites using the manufacturer's power curve.
Frequency Forecasts from 5 minutes up to 2 weeks
Flexible data transmission methods API, (s)FTP, email, deliver data by site or portfolio
Capabilities Portfolio scale and country-wide application from 1 site
Modular based system Icing detection, quantiles, ramping events, thus can consider curtailments and availability of turbines/panels
Other side solutions available battery, EV charging

Relative Business Impact

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Technology Readiness Level

[9/9]

Development Technology demonstration Mature / Proven
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About ENFOR

ENFOR provides market-leading energy forecasting and optimization solutions for the energy sector. Utilities, energy traders, transmission and distribution system operators use ENFOR solutions for forecasting of renewable energy production, electricity and heat demand as well as optimization of district heating systems. ENFOR was established in 2006 as a spin-off from the Technical University of Denmark. The company has a solid operational track record and has successfully served customers all over the world for many years.

(+45) 45 350 350
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