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Found 5 papers, 3 papers with code
Can We Reliably Improve the Robustness to Image Acquisition of Remote Sensing of PV Systems?
Photovoltaic (PV) energy is crucial for the decarbonization of energy systems.
PyPVRoof: a Python package for extracting the characteristics of rooftop PV installations using remote sensing data
{\tt PyPVRoof} is a Python package to extract essential PV installation characteristics.
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
Attribution in the wavelet domain reveals where and on what scales the model focuses, thus enabling us to assess whether a decision is reliable.
Towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed PV mapping
We define the downstream task accuracy (DTA) as the accuracy over the mapping area, automatically computed using publicly available data sources and the model's outputs and expressed in an interpretable way for operators.
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
Translational invariance induced by pooling operations is an inherent property of convolutional neural networks, which facilitates numerous computer vision tasks such as classification.
