AI Applications in the Energy Sector


Papers:
Predictive Intelligence for Lightning Events: A Machine Learning Solution to Mitigate Risks in Power Energy Operations
Luis Pavam, UFPR - Federal University of Parana, Curitiba, Brazil; SIMEPAR - Parana Environmental Technology and Monitoring Service, Curitiba, PR, Brazil; and C. Beneti, L. E. S. Oliveira, M. A. Z. Alves, and L. Calvetti

Improving the Accuracy of Wind Gust Forecasts for Power Distribution Systems
Rafael Toshio Inouye, SIMEPAR - Parana Environmental Technology and Monitoring Service, Curitiba, PR, Brazil; and C. Beneti, L. Calvetti, L. E. S. Oliveira, and S. Paz

From High Impact Weather Nowcasting to Power Outage Prediction using Machine Learning Algorithms - A Short-Term RTO Project in Southern Brazil
Cesar Beneti, SIMEPAR - Parana Environmental Technology and Weather Monitoring Service, Curitiba, PR, Brazil; and L. Calvetti, S. Paz, J. Silva Jr., R. T. Inouye, F. Verdelho, R. Lins da Rocha Jr., L. Pavam, G. Rasera, and M. V. Cardoso

Submission Deadline: Thursday, 31 August 2023



See more of: 15th Conference on Weather, Water, Climate, and the New Energy Economy
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