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Summary
Creating smart district heating networks integrating a growing number of renewable sources thanks to artificial intelligence is the goal of researchers at the ENEA Energy Efficiency Department. They have developed a model based on artificial neural networks capable of predicting, six hours in advance, how much thermal energy a prosumer (a user who is both a producer and a consumer) will be able to feed into the grid. The results, published in the journal Energies, pave the way for the development of increasingly smart district heating systems that mirror modern smart electrical grids.
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