# Solar Production Suvilahti Regression Model
This is a package containing a regression model and a ML pipeline for an end-to-end machine learning project that provides hourly prediction of produced energy at Suvilahti PV plant for the upcoming 36 hours. The model utilizes the Finnish Meteorological Institute (FMI) open data and weather API as input parameters. Github project [source](https://github.com/screwdriver66/solar_prod_suvilahti).
## Documentation
Documentation can be found in [[source](https://github.com/screwdriver66/solar_prod_suvilahti/tree/master/documentation)]
## Licenses
- The source code is under the GNU GPL v3 license [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
- Weather observation part of the data set, downloaded from https://en.ilmatieteenlaitos.fi/open-data, prior to its modification is under [Creative Commons Attribution 4.0 International
License][cc-by]. [![CC BY 4.0][cc-by-shield]][cc-by]
- Solar energy production part of the data set was downloaded from https://www.helen.fi/en/solar-panels/solar-power-plants/suvilahti-solar-power-plant prior to its modification had no license document on the web page.
The aforementioned datasets were used in model training and testing. The modified versions are located in regression model's package [datasets](/packages/regression_model/regression_model/datasets/) folder.
[cc-by]: http://creativecommons.org/licenses/by/4.0/
[cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg
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资源分类:Python库 所属语言:Python 资源全名:solar_prod_suvilahti_ml_model-0.1.4.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
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solar_prod_suvilahti_ml_model-0.1.4.tar.gz (32个子文件)
solar_prod_suvilahti_ml_model-0.1.4
MANIFEST.in 394B
PKG-INFO 3KB
regression_model
config
logging_config.py 535B
__init__.py 0B
config.py 2KB
processing
preprocessors.py 4KB
solar_calculation_functions.py 5KB
errors.py 135B
__init__.py 0B
validation.py 476B
data_management.py 2KB
get_weather_forecast.py 887B
train_pipeline.py 880B
predict.py 953B
pipeline.py 1KB
__init__.py 447B
trained_models
__init__.py 0B
rf_pipeline_output_v0.1.4.pkl 88.23MB
VERSION 6B
datasets
__init__.py 0B
test.csv 631KB
solar_prod_suvilahti_ml_model.egg-info
PKG-INFO 3KB
requires.txt 199B
SOURCES.txt 1KB
top_level.txt 17B
dependency_links.txt 1B
LICENSE 34KB
setup.cfg 38B
requirements.txt 238B
WEATHER_OBS_DATA_LICENSE_CC_BY 18KB
setup.py 2KB
README.md 2KB
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