├── CodeSolarForecastingCK.ipynb
└── README.md


/README.md:
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 1 | # Forecasting Solar Power: Analysis of using a LSTM Neural Network
 2 | Increasing generation of renewable energies are good for the environment,
 3 | however bring challenges for electricity grid stabilization. Therefore, forecast-
 4 | ing of such energies becomes very important. This research conducts research
 5 | on forecasting solar power using a LSTM neural network. Data from BSRN
 6 | with a time frame of 1 min is used to built a model. Humidity, Dew/Frost
 7 | point, Station Pressure, month number and day number were found to work
 8 | best to predict solar radiation. Further the tuning, evaluation and testing of
 9 | the model are extensively discussed. An analysis of power spectral density
10 | of the predicted values shows that there exist difficulties in predicting in low
11 | frequencies. The LSTM model shows overall promising results and can be
12 | used for various data sizes.
13 | 
14 | For data please request at BSRN: https://bsrn.awi.de/
15 | 


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