Wind Power Forecasting Based on Echo State Networks and Long Short-Term Memory
Energies, 2018 Wind power generation has presented an important development around the world. However, its integration into electrical systems presents numerous challenges due to the variable nature of the wind.
Erick López +4 more
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Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks. [PDF]
Sensors (Basel), 2022 Bruneo D, De Vita F.
europepmc +1 more source
Root Cause Analysis of Temporal Network Faults using Echo State Networks
International Journal of Applied Mathematics and Computer ScienceThe increasing complexity and dynamism of modern networks pose significant challenges for effective fault management. Temporal network faults, characterized by their evolving nature and cascading effects, are particularly difficult to diagnose ...
Zhang Bixian, Chen Yixia
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Enhancing Short-Term Wind Power Forecasting through Multiresolution Analysis and Echo State Networks
Energies, 2018 This article suggests the application of multiresolution analysis by Wavelet Transform—WT and Echo State Networks—ESN for the development of tools capable of providing wind speed and power generation forecasting. The models were developed to forecast the
Hugo Tavares Vieira Gouveia +2 more
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Echo State Networks for Estimating Exteroceptive Conditions From Proprioceptive States in Quadruped Robots. [PDF]
Front Neurorobot, 2021 Calandra M +4 more
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A machine-learning approach for long-term prediction of experimental cardiac action potential time series using an autoencoder and echo state networks. [PDF]
Chaos, 2022 Shahi S, Fenton FH, Cherry EM.
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Modeling of Soft Pneumatic Actuators with Different Orientation Angles Using Echo State Networks for Irregular Time Series Data. [PDF]
Micromachines (Basel), 2022 Youssef SM +5 more
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Automated operational states detection for drilling systems control in critical conditions
, 2013 Critical events in industrial drilling should be overcome by engineers while they maintain safety and achieve their targeted operational drilling plans.
Sabeur, Zoheir, Veres, Galina
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Network traffic prediction model based on linear and nonlinear model combination
ETRI JournalWe propose a network traffic prediction model based on linear and nonlinear model combination. Network traffic is modeled by an autoregressive moving average model, and the error between the measured and predicted network traffic values is obtained. Then,
Lian Lian
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Exploring Digital Twins of Nonlinear Systems through Meta-Modeling with Echo State Networks
Latin-American Journal of Computingmonitoring, and control rely on precise dynamic models that can capture the inherent nonlinearities of chemical systems. However, rigorous modeling of complex industrial processes can be computationally demanding.
Laisa Cristina Juffo Cristina Juffo Campos +3 more
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