Παρακολούθηση
Hongfang Lu (卢泓方)
Hongfang Lu (卢泓方)
M. ASCE, Ph.D., Associate Professor, Southeast University, China
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα seu.edu.cn
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Hybrid decision tree-based machine learning models for short-term water quality prediction (Highly Cited Paper)
H Lu, X Ma
Chemosphere 249, 126169, 2020
5292020
Oil and Gas 4.0 era: A systematic review and outlook
H Lu, L Guo, M Azimi, K Huang
Computers in Industry 111, 68-90, 2019
3592019
Blockchain technology in the oil and gas industry: A review of applications, opportunities, challenges, and risks (Highly Cited Paper)
H Lu, K Huang, M Azimi, L Guo
IEEE Access 7 (1), 41426 - 41444, 2019
3202019
Leakage detection techniques for oil and gas pipelines: State-of-the-art (Highly Cited Paper)
H Lu, T Iseley, S Behbahani, L Fu
Tunnelling and Underground Space Technology 98, 103249, 2020
2642020
Carbon trading volume and price forecasting in China using multiple machine learning models (Highly Cited Paper)
H Lu, X Ma, K Huang, M Azimi
Journal of Cleaner Production 249, 119386, 2020
2342020
A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer (Highly Cited Paper)
W Qiao, H Lu, G Zhou, M Azimi, Q Yang, W Tian
Journal of Cleaner Production 244, 118612, 2020
2072020
Carbon dioxide transport via pipelines: A systematic review
H Lu, X Ma, K Huang, L Fu, M Azimi
Journal of Cleaner Production 266, 121994, 2020
1762020
Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower
H Lu, F Cheng, X Ma, G Hu
Energy 203, 117756, 2020
1282020
Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine
H Lu, M Azimi, T Iseley
Energy Reports 5, 666-677, 2019
1102019
Oil and gas companies' low-carbon emission transition to integrated energy companies
H Lu, L Guo, Y Zhang
Science of The Total Environment 686, 1202-1209, 2019
1012019
Energy price prediction using data-driven models: A decade review
H Lu, X Ma, M Ma, S Zhu
Computer Science Review 39, 100356, 2021
922021
A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19
H Lu, X Ma, M Ma
Energy 219, 119568, 2021
852021
Trenchless Construction Technologies for Oil and Gas Pipelines: State-of-the-Art Review
H Lu, S Behbahani, M Azimi, J Matthews, S Han, T Iseley
ASCE Journal of Construction Engineering and Management 146 (6), 03120001, 2020
852020
Ultrasonic guided wave techniques and applications in pipeline defect detection: A review
X Zang, ZD Xu, H Lu, C Zhu, Z Zhang
International Journal of Pressure Vessels and Piping 206, 105033, 2023
762023
Study on leakage and ventilation scheme of gas pipeline in tunnel
H Lu, K Huang, L Fu, Z Zhang, S Wu, Y Lyu, X Zhang
Journal of Natural Gas Science and Engineering 53, 347-358, 2018
702018
US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model
H Lu, X Ma, M Azimi
Energy 194, 116905, 2020
682020
Lake water-level fluctuation forecasting using machine learning models: a systematic review
S Zhu, H Lu, M Ptak, J Dai, Q Ji
Environmental Science and Pollution Research 27, 44807–44819, 2020
652020
Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer
H Lu, X Ma, K Huang, M Azimi
Renewable & Sustainable Energy Reviews 127, 109856, 2020
652020
Novel data-driven framework for predicting residual strength of corroded pipelines (Most Cited Paper in JPSEP)
H Lu, ZD Xu, T Iseley, J Matthews
ASCE Journal of Pipeline Systems Engineering and Practice 12 (4), 04021045, 2021
61*2021
Application of artificial neural network in tunnel engineering: a systematic review
X Wang, H Lu, X Wei, G Wei, SS Behbahani, T Iseley
IEEE Access 8, 119527-119543, 2020
592020
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