Meaningful use of artificial intelligence can lead to savings for each energy market participant.
Mária Lucká
Senior researcher, KInIT
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CloseThe PREDICT project aims to:
Modern power systems are experiencing an increase in power demand and changes to complex interconnected power networks comprising conventional and renewable energy sources.
Maintaining a balance between generation and demand is important for the reliable operation of power networks. Besides forecasts of generation and demand, forecasts of transmission losses play an important role in the decision-making of system operators.
This project aims to design and verify transmission loss prediction models using artificial intelligence methods. Predictions will be based on historical data using regression analysis and state-of-the-art AI methods, such as support vector regression and artificial neural networks.
Model attributes, including weather characteristics, will be chosen by feature selection methods and properly preprocessed. Appropriate algorithms will shorten the time needed to get the solution, reduce operating costs and ultimately save energy costs for all electricity market participants. We are working on innovative solutions that will be responsive to changes in the energy market and will represent significant progress in this area.
Mária Lucká
Senior researcher, KInIT
This project was supported by the Slovenská elektrizačná prenosová sústava Fund at the Pontis Foundation.
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