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Artificial Intelligence: Economic Optimization

The rise of Artificial Intelligence (AI) has had a significant impact on the energy transition and the optimization of electricity grids. It enables us to use available resources more efficiently and accelerate the energy transition.

One of the key applications of AI in the energy sector is economic optimization. In this context, AI is used to optimize energy consumption and production based on various factors, such as energy market prices, available capacity, and consumption profiles. This leads to a more efficient and sustainable energy supply.

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A key application of economic optimization is forecasting energy demand and production. For example, this can be used to plan and optimize the energy production of solar and wind farms. Based on weather forecasts, AI software can determine when solar panels and wind turbines can be optimally deployed. This can result in higher yields of renewable energy and more efficient use of available resources.

In addition to economic optimization, AI can also be used for other applications, such as predicting failures in the electricity grid and optimizing energy storage. By utilizing AI, we can use available resources more efficiently and accelerate the energy transition.

Artificiële Intelligentie om beter te sturen op netcongestie

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Make use of our Artificial Intelligence models

A key application of economic optimization is determining the optimal pricing strategy in the energy market. By using AI, the software can predict energy prices based on various factors, such as weather conditions and market supply and demand. Based on these predictions, the energy provider can optimize prices to achieve maximum profit.