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Output prediction summary deep echo state network for multivariate chaotic time series forecasting

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0 Published in 2025 at "Physica Scripta"

DOI: 10.1088/1402-4896/adb24b

Abstract: In this paper, a novel multi-reservoir model called output prediction summary deep echo state network (OPS-DESN) is proposed for multivariate time series forecasting. OPS-DESN consists of a series of chain-connected feature extraction modules and a… read more here.

Keywords: module; ops desn; output prediction; series ... See more keywords

Output prediction of quantum circuits based on graph neural networks

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0 Published in 2025 at "Frontiers of Physics"

DOI: 10.15302/frontphys.2026.063201

Abstract: The output prediction of quantum circuits is a formidably challenging task imperative in developing quantum devices. Motivated by the natural graph representation of quantum circuits, this paper proposes a Graph Neural Networks (GNNs)-based framework to… read more here.

Keywords: output prediction; quantum; neural networks; quantum circuits ... See more keywords

The Photovoltaic Output Prediction Based on Variational Mode Decomposition and Maximum Relevance Minimum Redundancy

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0 Published in 2019 at "Applied Sciences"

DOI: 10.3390/app9173593

Abstract: Photovoltaic output is affected by solar irradiance, ambient temperature, instantaneous cloud cluster, etc., and the output sequence shows obvious intermittent and random features, which creates great difficulty for photovoltaic output prediction. Aiming at the problem… read more here.

Keywords: photovoltaic output; output; output prediction; based variational ... See more keywords