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Found 4 papers, 2 papers with code
AudioProtoPNet: An interpretable deep learning model for bird sound classification
Thus, this work demonstrates that even for the challenging task of bioacoustic bird classification, powerful yet interpretable deep learning models can be developed to provide valuable insights to domain experts.
BirdSet: A Multi-Task Benchmark for Classification in Computational Avian Bioacoustics
Data fragmentation and opacity across studies complicate a comprehensive evaluation of model performance.
Targeted Adversarial Attacks on Wind Power Forecasts
In recent years, researchers proposed a variety of deep learning models for wind power forecasting.
A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator
Through their short trading horizon and continuous nature, the intraday markets offer the ability to adjust trading decisions from the day-ahead market or reduce trading risk in a short-term notice.
