most citedAnalyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting

6 citations · 9 across the 2 of their papers we have counts for

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2 papers

cs.LG2025★ 6 cited

Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting

Andreas Lebedev, Abhinav Das, Sven Pappert +1

Precise probabilistic forecasts are fundamental for energy risk management, and there is a wide range of both statistical and machine learning models for this purpose. Inherent to…

cond-mat.mes-hall2007★ 3 cited

Bell's inequality test with time-delayed two-particle correlations

A. V. Lebedev, G. Blatter

Adopting the frame of mesoscopic physics, we describe a Bell type experiment involving time-delayed two-particle correlation measurements. The indistinguishability of quantum parti…