Diseño de un algoritmo utilizando Machine Learning para la predicción de la radiación solar en el sector de Lasso.
The design of the algorithm for the prediction of solar radiation using Machine Learning techniques was developed by applying the keras and Tenson Flow libraries for the creation of the LSTM sequential model neural network that selected previous data and predicted a later week, was recorded with a m...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
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| বিন্যাস: | masterThesis |
| ভাষা: | spa |
| প্রকাশিত: |
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://repositorio.utc.edu.ec/handle/27000/8014 |
| ট্যাগগুলো: |
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ট্যাগ যুক্ত করুন | সংক্ষিপ্ত: | The design of the algorithm for the prediction of solar radiation using Machine Learning techniques was developed by applying the keras and Tenson Flow libraries for the creation of the LSTM sequential model neural network that selected previous data and predicted a later week, was recorded with a meteorological station the measurement of the climate variables in intervals of every minute to export the measurement file in .CSV format, the data processing was coded in Google Colab so that the information resources are carried out by the server, the programming language is Python, the results obtained are values of solar radiation in the range from 6:00 a.m. to 6:00 p.m., the sequence of hours with time is relevant, if a value was null or the order of the data is altered, the results are different from the real ones because time series are applied to the forecast data and the result is the forecast for each hour of the following seven continuous days. |
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