Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Authors:
- Stefano Frizzo StefenonStefano Frizzo Stefenon
- Laio Oriel SemanLSLaio Oriel Seman
- Evandro Cardozo da SilvaESEvandro Cardozo da Silva
- Erlon Cristian FinardiEFErlon Cristian Finardi
- Leandro dos Santos CoelhoLCLeandro dos Santos Coelho
- Viviana Cocco MarianiVMViviana Cocco Mariani
Abstract
No abstract availableKeywords
This publication has 102 references indexed in Scilit:
- Bootstrap aggregation with Christiano–Fitzgerald random walk filter for fault prediction in power systemsElectrical Engineering, 2024
- Quantitative evaluation of the impact of hydrological forecasting uncertainty on reservoir real-time optimal operationStochastic Environmental Research and Risk Assessment, 2023
- A CNN Transfer Learning-Based Automated Diagnosis of COVID-19 From Lung Computerized Tomography Scan SlicesNew Generation Computing, 2023
- Stochastic Gradient Descent with Noise of Machine Learning Type Part I: Discrete Time AnalysisJournal of Nonlinear Science, 2023
- Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenariosApplied Intelligence, 2022
- Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case studyStochastic Environmental Research and Risk Assessment, 2022
- Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in IraqStochastic Environmental Research and Risk Assessment, 2021
- Vorhersage von Zeitserien der Biogasproduktion in anaeroben Faultürmen mit einem Temporal Fusion TransformerÖsterreichische Wasser- und Abfallwirtschaft, 2021
- Implications of uncertainty in inflow forecasting on reservoir operation for irrigationPaddy and Water Environment, 2020
- Long‐range reservoir inflow forecasts using large‐scale climate predictorsInternational Journal of Climatology, 2020