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AI AnalysisClassification & Focus Areas
"Renewable energy forecasting using NWP and machine learning — delivers production, price, and load predictions to reduce imbalance for TSOs and traders."
Domain Affinity
Technology Breakdown
Offerings Products & Services
PriceFor
Forecasting of electricity prices, enabling traders and energy companies to optimize bidding strategies.
LoadFor
Forecasting of electricity demand and load, helping utilities and grid operators balance supply and demand.
WindFor
Forecasting of wind power production for wind farms, using advanced modelling and AI techniques.
ChargeMe
Forecasting and optimisation of electric vehicle charging, supporting smart charging and grid integration.
SolarFor
Forecasting of solar power production for solar parks, leveraging weather data and machine learning.
Case StudiesReferences & Success Stories
ENFOR joins partnership to improve energy sector weather forecasting by 10 percent
ENFOR partnered with Ørsted, DMI, and others in the Weather2X project to enhance weather forecasts for solar and wind energy by up to 10 percent. Improved energy forecasts will reduce imbalances and system service costs for asset owners and traders, enabling more efficient integration of renewable energy.
ENFOR A/S joins research project: PtXMarkets
ENFOR joined the PtXMarkets research project with partners including DTU and EnergiDanmark to optimize Power-to-X facility operations in electricity markets. By applying forecasting techniques, the project aims to improve the competitiveness of PtX facilities from investment planning to daily operation, supporting grid stability and the green transition.
Enfor enters strategic partnership with Danfoss
ENFOR formed a strategic partnership with Danfoss, a global leader in energy-efficient technologies. While specific project details are not disclosed, the partnership aims to leverage ENFOR's forecasting capabilities to enhance Danfoss's solutions in heating, cooling, and energy systems, expanding ENFOR's market reach.
Huge savings with data-driven optimization of district heating
A study by the Danish District Heating Industry Association demonstrated that data-driven optimization methods from ENFOR can save the Danish district heating sector up to 119 million USD annually. The example of Roskilde/FORS, a long-term ENFOR client, illustrates the significant cost reductions achievable through intelligent temperature regulation and demand forecasting.
ENFOR extends wind power forecasting contract with Hydro Quebec
ENFOR extended its wind power forecasting contract with Hydro Quebec, covering almost 4 GW of installed wind farms. The challenging terrain and frequent icing require advanced forecasting to help balance intermittent wind power with Hydro Quebec's hydro resources. This extension highlights the reliability and accuracy of ENFOR's WindFor service for large-scale renewable integration.