Transient stability improvement based on out-of-step prediction
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DOI: 10.1016/j.epsr.2021.107108
Abstract: Abstract In this paper, a novel concept for transient stability improvement is introduced by using out-of-step prediction. Unlike conventional improving stability methods, which are always online, this concept makes activation of the stabilization process subject… read more here.
Keywords: transient stability; stability; step prediction; prediction ... See more keywords
Local Volterra multivariable chaotic time series multi-step prediction based on phase points clustering
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DOI: 10.21595/jve.2018.19142
Abstract: To solve the multivariable multi-step prediction problem in chaotic complex systems, this paper proposes a local Volterra model based on phase points clustering. Firstly, reconstruct the phase space of the data and calculate the similarity… read more here.
Keywords: phase; local volterra; step prediction; prediction ... See more keywords
Multi-Attention Recurrent Neural Network for Multi-Step Prediction of Chlorophyll Concentration
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DOI: 10.3390/app14219805
Abstract: Chlorophyll prediction facilitates the comprehension of red tide characteristics and enables early warning. In practice, it is formulated as a multivariate time series forecasting problem aimed at forecasting future chlorophyll concentrations by considering both exogenous… read more here.
Keywords: multi step; attention; chlorophyll; prediction ... See more keywords