Study project. A regression model to predict Solar Energy Production.
Project description
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.
Documentation
Documentation can be found in [source]
Licenses
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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.
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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 folder.
Project details
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