首页|Researchers from Polytechnic University of Catalonia Describe Findings in Machine Learning (Congestion Forecast Framework Based On Probabilistic Power Flow and Machine Learning for Smart Distribution Grids)
Researchers from Polytechnic University of Catalonia Describe Findings in Machine Learning (Congestion Forecast Framework Based On Probabilistic Power Flow and Machine Learning for Smart Distribution Grids)
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NETL
NSTL
Elsevier
Researchers detail new data in Machine Learning. According to news originating from Barcelona, Spain, by NewsRx correspondents, research stated, “ABS T R A C T The increase in renewable energy sources and new technologies such as electric vehicles and storage can generate uncertainties in distribution grid operations, increasing the likelihood of congestions in power lines. Distribution system operators (DSOs) face several challenges while operating their grids in such conditions.” Financial supporters for this research include Project consortium of the research project FINE, Research Council of Norway, European Union (EU).
BarcelonaSpainEuropeCyborgsEmerging TechnologiesMachine LearningPolytechnic University of Catalonia
NETL
NSTL
Elsevier
