Renewable Energy Production and Load Forecasting

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Deployed by 1 company

AI-based energy prediction using meteorological models and historical data

Page last modified
April 11 2024

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.

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

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Technology Readiness Level

The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.

[9/9]

Development Technology demonstration Mature / Proven
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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.

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