2023
DOI: 10.1088/1742-6596/2609/1/012006
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Flow Prediction for Hydropower Generation using LMST Neural Networks

Roberto Salazar Achig,
J A Gonzales,
C A Hidalgo

Abstract: The objective of this investigation is to predict the necessary flow to satisfy the demand in order to guarantee the generation of energy in a hydropower, for which the artificial neural network LMST (Long Short-Term Memory) was used. In this context, in this article, historical data from the years 2010 to 2019 of flow and power of the plant was used, which were provided by it, in the first instance the data was purified to group them and graph the heat diagram with which the variables of interest were determi… Show more

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