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Found 6 papers, 4 papers with code
Inductive biases in deep learning models for weather prediction
We show how the design choices made in each of the five design elements relate to structural assumptions.
Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow
The increase in renewable energy sources (RESs), like wind or solar power, results in growinguncertainty also in transmission grids.
Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow
One key strategy to cope with this uncertainty is the use of distributed energy storage systems (ESSs).
A Collection and Categorization of Open-Source Wind and Wind Power Datasets
Wind power and other forms of renewable energy sources play an ever more important role in the energy supply of today's power grids.
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
In the present paper, we analyze the impact of data representations on the performance of Deep Neural Networks using energy time series forecasting.
pyWATTS: Python Workflow Automation Tool for Time Series
Time series data are fundamental for a variety of applications, ranging from financial markets to energy systems.
