predict_pv_yield

Use machine learning to map satellite imagery of clouds to solar PV yield.
https://github.com/openclimatefix/predict_pv_yield

Keywords

nowcasting

Last synced: over 1 year ago
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Acceptance Criteria

Revelant topics? true
External users? true
Open source license? true
Active? false
Fork? false

Repository metadata

Using optical flow & machine learning to predict PV yield

Host: GitHub
URL: https://github.com/openclimatefix/predict_pv_yield
Owner: openclimatefix
License: mit
Archived: true
Created: 2020-09-30T16:46:56.000Z (over 4 years ago)
Default Branch: main
Last Pushed: 2022-10-12T07:48:23.000Z (over 2 years ago)
Last Synced: 2024-01-18T23:48:12.769Z (over 1 year ago)
Topics: nowcasting
Language: Jupyter Notebook
Homepage:
Size: 40.9 MB
Stars: 52
Watchers: 5
Forks: 11
Open Issues: 46
Releases: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Intro

Early experiments on predicting solar electricity generation over the next few hours, using deep learning, satellite imagery, and as many other data sources as we can think of :)

These experiments are focused on predicting solar PV yield.

Please see SatFlow for complementary experiments on predicting the next few hours of satellite imagery (i.e. trying to predict how clouds are going to move!)

And please see OCF's Nowcasting page for more context.

Installation

From within the cloned predict_pv_yield directory:

conda env create -f environment.yml
conda activate predict_pv_yield
pip install -e .

Owner metadata

Name: Open Climate Fix
Login: openclimatefix
Email: [email protected]
Kind: organization
Description: Using open science to mitigate climate change
Website: openclimatefix.org
Location: London
Twitter: openclimatefix
Company:
Icon url: https://avatars.githubusercontent.com/u/48357542?v=4
Repositories: 47
Last ynced at: 2023-03-03T01:12:35.729Z
Profile URL: https://github.com/openclimatefix

GitHub Events

Total

Issues event: 91
Watch event: 66
Delete event: 18
Issue comment event: 84
Push event: 420
Pull request review event: 25
Pull request review comment event: 18
Pull request event: 42
Fork event: 16
Create event: 31

Last Year

Fork event: 5
Issue comment event: 3
Issues event: 3
Watch event: 7

Name	Email	Commits
peterdudfield	p**d@h**m	213
Jack Kelly	j**k@O**g	113
pre-commit-ci[bot]	6****]	9
Peter Dudfield		6

Issue and Pull Request metadata

Last synced: over 1 year ago

Total issues: 77
Total pull requests: 22
Average time to close issues: about 1 month
Average time to close pull requests: 9 days
Total issue authors: 4
Total pull request authors: 3
Average comments per issue: 1.84
Average comments per pull request: 0.55
Merged pull request: 20
Bot issues: 0
Bot pull requests: 2

Past year issues: 3
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 0
Past year average comments per issue: 1.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/openclimatefix/predict_pv_yield

Top Issue Authors

JackKelly (62)
peterdudfield (12)
kaizhai (2)
davidburtcam (1)

Top Pull Request Authors

peterdudfield (19)
pre-commit-ci[bot] (2)
JackKelly (1)

Top Issue Labels

enhancement (36)
machine learning model (26)
data (23)
performance analysis: baselines & metrics (10)
bug (7)
documentation (1)
good first issue (1)
duplicate (1)
priority-low (1)

Top Pull Request Labels

enhancement (1)

Dependencies

.github/workflows/python-app.yml actions

actions/checkout v2 composite
actions/setup-python v2 composite

environment.yml pypi

neptune-client *
nowcasting_dataloader *
nowcasting_dataset *
nowcasting_utils *
perceiver_pytorch *
tilemapbase *

Score: 5.971261839790463

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