Short-term wind power prediction optimized by multi-objective dragonfly algorithm based on variational mode decomposition

Y Zhou, J Wang, H Lu, W Zhao - Chaos, Solitons & Fractals, 2022 - Elsevier
Short-term wind power prediction has a considerable effect on improving the productivity of
wind energy systems and increasing economic benefits. In recently years, various wind …

Joint optimization of production and condition-based maintenance scheduling for make-to-order manufacturing systems

S Qiu, X Ming, M Sallak, J Lu - Computers & Industrial Engineering, 2021 - Elsevier
In make-to-order manufacturing systems, the production plan is made according to randomly
fluctuating customer orders, therefore, the workload distributed to production machines …

Vehicle operating state anomaly detection and results virtual reality interpretation

M Alizadeh, M Hamilton, P Jones, J Ma… - Expert Systems with …, 2021 - Elsevier
Nowadays, with the increasing complexity of vehicle operating environment, vehicle
operating reliability becomes growing essential and has attracted significant attention in …

Time series traffic flow prediction with hyper-parameter optimized arima models for intelligent transportation system

P Kumar B - 2022 - nopr.niscpr.res.in
Intelligent Transportation System (ITS) has become the need of the day to manage heavy
traffic problems due to the exponential growth of road transportation. This is also very much …

Runoff forecasting model based on CEEMD and combination model: a case study in the Manasi River, China

L Lian - Water Supply, 2022 - iwaponline.com
Accurate forecasting of runoff is necessary for water resources management. However, the
runoff time series consists of complex nonlinear and non-stationary characteristics, which …

Hybrid artificial bee colony based neural network and dynamic threshold technique for predicting moving vehicle location and co-located objects

E Baby Anitha, S Sivaprakash, S Velmurugan… - Sādhanā, 2023 - Springer
Co-location pattern discovery contains processing data as well as a spatial context to
observe the classes of spatial objects that are often located together. Moreover, the existing …

[HTML][HTML] Prediction of rail transit delays with machine learning: How to exploit open data sources

M Sarhani, S Voß - Multimodal Transportation, 2024 - Elsevier
The use of public transport data has evolved rapidly over the past decades. Indeed, the
availability of diverse data sources and advances in analytics have led to a greater …

A highway in-transit vehicle position estimation method considering road characteristics and short-term driving style

G Luo, F Zou, F Guo, Q Cai, T Ye, G Xu - IEEE Access, 2024 - ieeexplore.ieee.org
Existing vehicle position estimation methods are mostly based on Global Positioning System
(GPS) or a fusion of GPS and machine learning methods to realize vehicle position …

A new vehicle dataset in the city of Los Angeles for V2X and machine learning applications

IA Alablani, MA Arafah - Applied Sciences, 2022 - mdpi.com
The fifth-generation (5G) network is the current emerging technology that meets the
increasing need for higher throughputs and greater system capacities. It is expected that 5G …

A new GNSS outlier mitigation method for GNSS/INS integrated system

J Guo, Y Zhou, S Zhao, Z Hu - Measurement Science and …, 2023 - iopscience.iop.org
High-precision positioning with global navigation satellite systems (GNSS) remains a
significant challenge in urban environments, due to the outliers caused by the insufficient …