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Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Energy planning in Brazil is based on assessing the availability of hydrological resources in
the future, thus guaranteeing the supply of energy based on hydroelectric generation …
the future, thus guaranteeing the supply of energy based on hydroelectric generation …
[HTML][HTML] Time Series Forecasting of Thermal Systems Dispatch in Legal Amazon Using Machine Learning
This paper analyzes time series forecasting methods applied to thermal systems in Brazil,
specifically focusing on diesel consumption as a key determinant. Recognizing the critical …
specifically focusing on diesel consumption as a key determinant. Recognizing the critical …
Natural Inflow Forecasting in Hydroelectric Power Plants using Hypertuned TFT with Hodrick-Prescott Filter
The scheduling of the operation of the electricity system in Brazil is based on multi-criteria
optimization that takes into account the forecast of the level of the dams of the hydroelectric …
optimization that takes into account the forecast of the level of the dams of the hydroelectric …