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Effects of hydropeaking on the hydrodynamics of a stratified reservoir: the Rapel Reservoir case study
(Taylor & Francis, 2015)
The effects of hydropeaking of the Rapel Hydropower Plant on the hydrodynamics of the reservoir
were investigated by combining field measurements and three-dimensional simulations performed
with the Centre for Water ...
Otimização de Reservoir Computing com PSO
(Universidade Federal de Pernambuco, 2015)
Um Método para Design e Treinamento de Reservoir Computing Aplicado à Previsão de Séries Temporais
(Universidade Federal de Pernambuco, 2014)
Combining reservoir computing and variational inference for efficient one-class learning on dynamical systems
(IEEE, 2017)
Usually, time series acquired from some measure-ment in a dynamical system are the main source of infor-mation about its internal structure and complex behavior. Inthis situation, trying ...
Oil reservoir quality assisted by machine learning and evolutionary computation
(2016-08-11)
The main target of oil and gas exploration companies is to identify reservoirs and their location with high accuracy. For this purpose, all efforts are applied to reduce uncertainties and risks of water contamination or ...
Use of Neuro-Simulation techniques as proxies to reservoir simulator: Application in production history matching
(Elsevier Science BvAmsterdamHolanda, 2007)
Reservoir computing meets smart grids: attack detection using delayed feedback networks
(IEEE-INST Electrical Electronics Engineers INC, 2018)
A new method for attack detection of smart grids with wind power generators using reservoir computing (RC) is introduced in this paper. RC is an energy-efficient computing paradigm within the field of neuromorphic computing ...
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach
(Institute of Electrical and Electronics Engineers Inc., 2020)