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Digital energy scheduler cuts marginal carbon-reduction costs

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

A digital scheduling framework combining machine learning, optimization and blockchain technology could reduce carbon emissions at a lower cost in regional energy systems, according to research in the International Journal of Environment and Pollution. The system cut the marginal emission-reduction…

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  1. 2026-09-09 01:40 · TechXplore AI & ML
    Digital energy scheduler cuts marginal carbon-reduction costs

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