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Found 3 papers, 0 papers with code
Multi-market Energy Optimization with Renewables via Reinforcement Learning
It validates the adaptability of the learning framework with various storage models and shows the effectiveness of RL in a complex energy optimization setting, in the context of multi-market bidding, probabilistic forecasts, and accurate storage component models.
Tractable Identification of Electric Distribution Networks
In the first method, we use the eigendecomposition of the admittance matrix to generalize the notion of stationarity to electrical signals and demonstrate how the stationarity property can be used to facilitate a maximum a posteriori estimation procedure.
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data
We provide a thorough and extensible benchmark of leading deep learning-based super-resolution techniques, including the enhanced super-resolution generative adversarial network (ESRGAN) and an enhanced deep super-resolution (EDSR) network, on wind and solar data.
