My take on ECLIPSE solar nowcasting DL paper
APACHE-2.0 License
Implementing Paletta et al in Pytorch
Most of the codebase comes from Fiery
pip install eclipse_pytorch
import torch
from eclipse_pytorch.model import Eclipse
eclipse = Eclipse(horizon=5)
let's simulte some input images:
images = [torch.rand(2, 3, 128, 128) for _ in range(4)]
preds = eclipse(images)
you get a dict with forecasted masks and irradiances:
len(preds['masks']), preds['masks'][0].shape, preds['irradiances'].shape
(6, torch.Size([2, 4, 128, 128]), torch.Size([2, 6]))
@article{paletta2021eclipse,
title = {{ECLIPSE} : Envisioning Cloud Induced Perturbations in Solar Energy},
author = {Quentin Paletta and Anthony Hu and Guillaume Arbod and Joan Lasenby},
year = {2021},
eprinttype = {arXiv},
eprint = {2104.12419}
}
This repo is made with nbdev, please read the documentation to contribute