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Found 6 papers, 2 papers with code
Megahertz X-ray Multi-projection imaging
X-ray time-resolved tomography is one of the most popular X-ray techniques to probe dynamics in three dimensions (3D).
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy
As both forecasting and optimization are difficult problems in their own right, relatively few research has been done in this area.
How to predict and optimise with asymmetric error metrics
In this paper, we examine the concept of the predict and optimise problem with specific reference to the third Technical Challenge of the IEEE Computational Intelligence Society.
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge
For the forecast, I used a quantile regression forest approach using the solar variables provided by the Bureau of Meterology of Australia (BOM) and many of the weather variables from the European Centre for Medium-Range Weather Forecasting (ECMWF).
Unsupervised learning approaches to characterize heterogeneous samples using X-ray single particle imaging
One of the outstanding analytical problems in X-ray single particle imaging (SPI) is the classification of structural heterogeneity, which is especially difficult given the low signal-to-noise ratios of individual patterns and that even identical objects can yield patterns that vary greatly when orientation is taken into consideration.
Using solar and load predictions in battery scheduling at the residential level
Particularly, when time-of-use tariffs are in effect in the region of the inverter, it is possible in some cases to schedule the battery to save money for the individual customer, compared to the "automatic" mode.
