Time series forecasting techniques applied to hydroelectric generation systems by Julio Barzola-Monteses, Juan Gómez-Romero, Mayken Espinoza-Andaluz, Waldo Fajardo

“…Modeling sequential data over time has become an intensive and fast-growing research area. Time series analysis has many applications in the energy field. …”
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Complexity in Neural and Financial Systems: From Time-Series to Networks by Tiziano Squartini, Andrea Gabrielli, Diego Garlaschelli, Tommaso Gili, Angelo Bifone, Fabio Caccioli

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Time Series Prediction Based on Complex-Valued S-System Model by Bin Yang, Wenzheng Bao, Yuehui Chen

“…The time series data need to be translated into complex numbers. …”
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Predicting Solar Energetic Particle Events with Time Series Shapelets by Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

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The Combined Poisson INMA(q) Models for Time Series of Counts by Kaizhi Yu, Hong Zou

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Single index regression for locally stationary functional time series by Breix Michael Agua, Salim Bouzebda

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Prediction of Chaotic Time Series Based on BEN-AGA Model by LiYun Su, Fan Yang

“…Aiming at the prediction problem of chaotic time series, this paper proposes a brain emotional network combined with an adaptive genetic algorithm (BEN-AGA) model to predict chaotic time series. …”
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Adaptive algorithms for change point detection in financial time series by Alexander Musaev, Dmitry Grigoriev, Maxim Kolosov

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Application of Neural Networks in Financial Time Series Forecasting Models by Xinhui Li

“…Therefore, this paper integrates the support vector machine with the established model by establishing a convolutional neural network model and applies the prediction model to the prediction of financial time series data. The experimental results show that the model proposed in this paper can more accurately predict the trend of the stock index.…”
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PRESEE: An MDL/MML Algorithm to Time-Series Stream Segmenting by Kaikuo Xu, Yexi Jiang, Mingjie Tang, Changan Yuan, Changjie Tang

“…Time-series stream is one of the most common data types in data mining field. …”
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Presentations to Emergency Departments for COPD: A Time Series Analysis by Rhonda J. Rosychuk, Erik Youngson, Brian H. Rowe

“…Seasonal autoregressive integrated moving average (SARIMA) time series models were developed. Results. ED presentations for COPD totalled 188,824 and the monthly rate of presentation remained relatively stable (from 197.7 to 232.6 per 100,000). …”
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Aggregated Time Series Features in a Voxel-Based Network Architecture by Zsolt Vincze, Andras Rovid

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Retracted: Application of Neural Networks in Financial Time Series Forecasting Models by Journal of Function Spaces

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An Application of the Coherent Noise Model for the Prediction of Aftershock Magnitude Time Series by Stavros-Richard G. Christopoulos, Nicholas V. Sarlis

“…The study is also extended by using the Global Centroid Moment Tensor Project catalogue to the case of the six strongest earthquakes in the Earth during the last almost forty years. The predictor time series exhibits the ubiquitous 1/f noise behavior.…”
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A novel multivariate time series dataset of outdoor sport activities by Matarmaa Jarno

Subjects: “…Multivariate time series…”
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Introduction of General Distributions on Sphere and Torus in View of Time Series Spectra by Masanobu Taniguchi, Yujie Xue

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Music Recommendation Algorithm Based on Multidimensional Time-Series Model Analysis by Juanjuan Shi

“…This paper proposes a personalized music recommendation method based on multidimensional time-series analysis, which can improve the effect of music recommendation by using user’s midterm behavior reasonably. …”
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Frequency and Time Series Analysis of Surge Arrester in Power Distribution Systems by Alireza Zabihi, Mohammad Parhamfar

“…This study also presents frequency and time series analysis of surge arresters during short circuits. …”
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Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection by Vadim Lanko, Ilya Makarov

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Time Series Analysis of Production Decline in Carbonate Reservoirs with Machine Learning by Liqiang Wang, Mingji Shao, Gen Kou, Maoxian Wang, Ruichao Zhang, Zhengzheng Wei, Xiao Sun

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