Short-term traffic prediction based on time series decomposition

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2021.126441 ◽

2021 ◽

pp. 126441

Author(s):

Haichao Huang ◽

Jingya Chen ◽

Rui Sun ◽

Shuang Wang

Keyword(s):

Time Series ◽

Traffic Prediction ◽

Time Series Decomposition

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Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

Solar Energy ◽

10.1016/j.solener.2020.07.008 ◽

2020 ◽

Vol 207 ◽

pp. 626-639 ◽

Author(s):

Amirreza Heidari ◽

Dolaana Khovalyg

Keyword(s):

Time Series ◽

System Application ◽

Heating System ◽

Water Heating ◽

Time Series Decomposition ◽

Term Energy ◽

Energy Use Prediction

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Interval Estimation of Landslide Displacement Prediction Based on Time Series Decomposition and Long Short-Term Memory Network

IEEE Access ◽

10.1109/access.2019.2961295 ◽

2020 ◽

Vol 8 ◽

pp. 3187-3196 ◽

Author(s):

Yin Xing ◽

Jianping Yue ◽

Chuang Chen

Keyword(s):

Time Series ◽

Short Term Memory ◽

Interval Estimation ◽

Displacement Prediction ◽

Term Memory ◽

Time Series Decomposition ◽

Landslide Displacement Prediction ◽

Memory Network ◽

Long Short Term Memory

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Partial discharge detection on aerial covered conductors using time-series decomposition and long short-term memory network

Electric Power Systems Research ◽

10.1016/j.epsr.2020.106318 ◽

2020 ◽

Vol 184 ◽

pp. 106318 ◽

Author(s):

Ming Dong ◽

Jessie Sun

Keyword(s):

Time Series ◽

Short Term Memory ◽

Partial Discharge ◽

Term Memory ◽

Time Series Decomposition ◽

Memory Network ◽

Long Short Term Memory ◽

Covered Conductors ◽

Discharge Detection

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Short-Term Traffic Flow Prediction for Hybrid Time Series Decomposition Analysis and LSTM Neural Network

10.1061/9780784482292.205 ◽

2019 ◽

Author(s):

Yinghao Yu ◽

Weibin Zhang ◽

Yong Qi ◽

Haifeng Guo

Keyword(s):

Neural Network ◽

Time Series ◽

Traffic Flow ◽

Decomposition Analysis ◽

Traffic Flow Prediction ◽

Flow Prediction ◽

Time Series Decomposition

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Hybrid Deep Learning Model for Short-Term Wind Speed Forecasting Based on Time Series Decomposition and Gated Recurrent Unit

Complex System Modeling and Simulation ◽

10.23919/csms.2021.0026 ◽

2021 ◽

Vol 1 (4) ◽

pp. 308-321

Author(s):

Changtong Wang ◽

Zhaohua Liu ◽

Hualiang Wei ◽

Lei Chen ◽

Hongqiang Zhang

Keyword(s):

Time Series ◽

Deep Learning ◽

Learning Model ◽

Wind Speed Forecasting ◽

Time Series Decomposition ◽

Gated Recurrent Unit ◽

Deep Learning Model

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Performance Evaluation of Short-Term Time-Series Traffic Prediction Model

Journal of Transportation Engineering ◽

10.1061/(asce)0733-947x(2002)128:6(490) ◽

2002 ◽

Vol 128 (6) ◽

pp. 490-498 ◽

Author(s):

Sherif Ishak ◽

Haitham Al-Deek

Keyword(s):

Time Series ◽

Performance Evaluation ◽

Prediction Model ◽

Traffic Prediction ◽

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Review for "Short‐term load forecasting utilizing wavelet transform and time series considering accuracy feedback"

10.1002/2050-7038.12455/v1/review1 ◽

2019 ◽

Keyword(s):

Time Series ◽

Wavelet Transform ◽

Load Forecasting ◽

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Decision letter for "Short‐term load forecasting utilizing wavelet transform and time series considering accuracy feedback"

10.1002/2050-7038.12455/v1/decision1 ◽

2019 ◽

Keyword(s):

Time Series ◽

Wavelet Transform ◽

Load Forecasting ◽

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FORECASTING OF WATER DISCHARGE USING TIME SERIES DECOMPOSITION OF HYDROGEOLOGICAL AND ATMOSPHERIC VARIABLES TO IDENTIFY HIGH RISK PERIODS OF FLOODING IN SCHENECTADY, NEW YORK

10.1130/abs/2019se-327676 ◽

2019 ◽

Author(s):

Thomas A. Plitnick ◽

◽

Antonios E Marsellos ◽

Katerina Tsakiri

Keyword(s):

New York ◽

Time Series ◽

High Risk ◽

Water Discharge ◽

Time Series Decomposition ◽

Atmospheric Variables

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Short-term household load forecasting based on Long- and Short-term Time-series network

Energy Reports ◽

10.1016/j.egyr.2021.02.023 ◽

2021 ◽

Vol 7 ◽

pp. 58-64

Author(s):

Xifeng Guo ◽

Ye Gao ◽

Yupeng Li ◽

Di Zheng ◽

Dan Shan

Keyword(s):

Time Series ◽

Load Forecasting ◽

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