Traffic Accident Time Series Prediction Model Based on Combination of ARIMA and BP and SVM

2019 ◽  
pp. 41-46
Author(s):  
Xiaorui Shao ◽  
◽  
Lester L Boey ◽  
Yifei Luo
Keyword(s):  
Time Series ◽  
Prediction Model ◽  
Traffic Accident ◽  
Time Series Prediction ◽  
Model Based

scholarly journals Short-Term Electricity Consumption Forecasting Based on the EMD-Fbprophet-LSTM Method

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guorong Zhu ◽  
Sha Peng ◽  
Yongchang Lao ◽  
Qichao Su ◽  
Qiujie Sun
Keyword(s):  
Time Series ◽  
Power Consumption ◽  
Prediction Model ◽  
Time Series Prediction ◽  
Electricity Consumption ◽  
Operating Efficiency ◽  
Short Term ◽  
Model Based ◽  
Consumption Data ◽  
Consumption Prediction

Short-term electricity consumption data reflects the operating efficiency of grid companies, and accurate forecasting of electricity consumption helps to achieve refined electricity consumption planning and improve transmission and distribution transportation efficiency. In view of the fact that the power consumption data is nonstationary, nonlinear, and greatly influenced by the season, holidays, and other factors, this paper adopts a time-series prediction model based on the EMD-Fbprophet-LSTM method to make short-term power consumption prediction for an enterprise's daily power consumption data. The EMD model was used to decompose the time series into a multisong intrinsic mode function (IMF) and a residual component, and then the Fbprophet method was used to predict the IMF component. The LSTM model is used to predict the short-term electricity consumption, and finally the prediction value of the combined model is measured based on the weights of the single Fbprophet and LSTM models. Compared with the single time-series prediction model, the time-series prediction model based on the EMD-Fbprophet-LSTM method has higher prediction accuracy and can effectively improve the accuracy of short-term regional electricity consumption prediction.

A Time Series Prediction Model Based on Long Short-Term Memory Networks

2021 ◽  
Author(s):  
Linkai Wang ◽  
Jing Chen ◽  
Wei Wang ◽  
Ruofan Wang ◽  
Lina Yang ◽  
...  
Keyword(s):  
Time Series ◽  
Prediction Model ◽  
Short Term Memory ◽  
Time Series Prediction ◽  
Short Term ◽  
Term Memory ◽  
Model Based ◽  
Long Short Term Memory

scholarly journals Nonlinear Time Series Prediction Model Based on Particle Swarm Optimization B-spline Network

2018 ◽  
Vol 51 (21) ◽  
pp. 219-223
Author(s):  
Lingshuang Kong ◽  
Xiaolong Gong ◽  
Chuanlai Yuan ◽  
Huiqin Xiao ◽  
Jianhua Liu
Keyword(s):  
Time Series ◽  
Particle Swarm Optimization ◽  
Prediction Model ◽  
Time Series Prediction ◽  
Particle Swarm ◽  
Nonlinear Time Series ◽  
Swarm Optimization ◽  
B Spline ◽  
Model Based

scholarly journals A GPS Time Series Prediction Model Based on CEEMD

2016 ◽  
Vol 4 (1) ◽  
pp. 70-74
Author(s):  
Jia Lu ◽  
◽  
Xing Chen ◽  
Shuo Feng
Keyword(s):  
Time Series ◽  
Prediction Model ◽  
Time Series Prediction ◽  
Model Based ◽  
Gps Time Series
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