Science Daily August 2, 2019
Researchers in Finland collected data about the amount of power disruptions to their network from companies who have power grids through storm-prone central Finland. They sorted the storms into 4 classes, class 0 did not knock out electricity, class 1 storm cut-off up to 10% of transformers, class 2 up to 50%, and class 3 storm cut power to over 50% of the transformers. By grouping 16 different features of each storm, they were able to train the computer to recognize when storms will be damaging. The algorithm was very good at predicting which storms would be a class 0 and cause no damage, and which storms would be at least a class 3 and cause lots of damage. The researchers are adding more data for storms into the model to help improve the ability to tell class 1 and 2 storms apart from each other…read more. TECHNICAL ARTICLE