Electricity demand prediction models
At CIRCE - Technology Center, we develop advanced models for electricity demand prediction using historical data and neural networks. These models are essential for optimal management algorithms of electrical assets, as they provide crucial data inputs for accurate demand forecasting.
Description of the service
At CIRCE - Technology Center, we develop advanced models for electricity demand prediction using historical data and neural networks. These models are essential for optimal management algorithms of electrical assets, as they provide crucial data inputs for accurate demand forecasting.
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Value proposition
Optimal management of electrical assets
Electricity demand prediction is a key component for algorithms that manage assets.
Electricity planning and procurement
These models not only contribute to asset management but are also valuable for the strategic planning of electricity purchasing positions in day-ahead and intraday markets, enabling cost optimization and better decision-making.
Frequently Asked Questions (FAQs)
CIRCE has experience in European projects such as SYNERGY and FLEXICIENCY.
