… , this paper introduces a new dataset of electric steady-state grid … dataset is based on power
grids in Germany, this paper describes the methodology to compile the benchmark dataset…

… of the OPF-Learn datasets, and we compare these datasets to ones created using a typical
dataset creation method as seen in the literature. Using both datasets, we train and test …

… This report has highlighted some of the shortcomings of using existing network datasets
for benchmarking AC Optimal Power Flow algorithms and has proposed the PGLIBOPF …

… computing platform using resilient distributed datasets (RDDs). It … a power flow calculation
on a large-scale power system based … power flow calculations in large-scale power systems. …

… This article is organized as follows: In Section II we give a brief summary of the load flow
analysis. Then in Section IIIthe datasets which are used to test our approach are introduced. …

… power flow problem based on limited information about forecast error distributions available
through finite historical training datasets. A … control problem for optimal power flow. A distribu…

… power flow problem (AC-OPF) is critical to the efficient and safe planning and operation of
power … solvers; however, no large-scale open datasets for this problem exist. We present the …

… datasets contained only directional power flow data, while the dataset of the second group
contained directional power … for power flow prediction based on the input dataset containing …

… power flow measurement data stored in the utility’s metering DB. Another approach is to
generate historical power flow data … To generate the power flow dataset under normal operating …

… to determine the reactive power injection of inverters. This approach uses a linearized
distribution power flow model. Various kernel functions, which map the training dataset into a new …