Energy Grid Balance Analysis
The Business Need for Up-to-Date Data and Analysis
Many power generation plants were built decades ago, at a time when today’s quarter-hour pricing model could not even have been imagined. As the production of new weather-dependent energy sources, such as wind and solar power, continues to grow, fluctuations in electricity generation will accelerate and intensify even further in the future. At the same time, electricity demand has increased and continues to rise, significantly increasing the need for balancing and regulation in energy production.
Continuous regulation adjustments place considerable strain on power generation equipment, such as turbines, and may increase wear as well as maintenance requirements. This stress can be reduced, for example, through balancing power, but improved forecasting and assessment of grid needs also helps manage changes more efficiently.
Ai4Value’s Solution Model
Ai4Value has developed a solution model for assessing and forecasting power grid balance. Our model predicts energy load imbalances in advance, enabling proactive and timely decision-making related to grid stability and electricity markets.
At the core of the solution are artificial intelligence and deep learning algorithms, combined with Ai4Value’s strong expertise in modeling energy demand. In addition, the solution supports the optimization of balancing energy production, helping to minimize costs and maximize returns in a rapidly changing energy system.
Customer benefits
The model helps electricity reserve providers adapt their energy reserves and respond more effectively to the balancing needs of the power system. CHP plants also participate in the regulation required by electricity markets, and the solution is highly suitable for supporting their production control and optimization.
Our solution provides customers with:
- an assessment of the direction and magnitude of energy load imbalance,
- a clear view of upcoming risk situations to support decision-making, and
- improved foundations for optimizing flexibility, trading, and production control.