Ship energy consumption prediction with Gaussian process metamodel J Yuan, V Nian Energy Procedia 152, 655-660, 2018 | 73 | 2018 |
A simultaneous calibration and parameter ranking method for building energy models J Yuan, V Nian, B Su, Q Meng Applied energy 206, 657-666, 2017 | 67 | 2017 |
A new business model for encouraging the adoption of electric vehicles in the absence of policy support V Nian, MP Hari, J Yuan Applied energy 235, 1106-1117, 2019 | 65 | 2019 |
Uncertainty quantification of CO2 emission reduction for maritime shipping J Yuan, SH Ng, WS Sou Energy Policy 88, 113-130, 2016 | 51 | 2016 |
Analysis and design of typical automated container terminals layout considering carbon emissions N Wang, D Chang, X Shi, J Yuan, Y Gao Sustainability 11 (10), 2957, 2019 | 37 | 2019 |
A method for analysis of maritime transportation systems in the life cycle approach–The oil tanker example V Nian, J Yuan Applied energy 206, 1579-1589, 2017 | 35 | 2017 |
Evaluation of cost-effective building retrofit strategies through soft-linking a metamodel-based Bayesian method and a life cycle cost assessment method J Yuan, V Nian, B Su Applied Energy 253, 113573, 2019 | 32 | 2019 |
Impacts of electric vehicle deployment on the electricity sector in a highly urbanised environment L Wang, V Nian, H Li, J Yuan Journal of Cleaner Production 295, 126386, 2021 | 31 | 2021 |
Calibration of stochastic computer models using stochastic approximation methods J Yuan, SH Ng, KL Tsui IEEE Transactions on Automation Science and Engineering 10 (1), 171-186, 2012 | 31 | 2012 |
Alternative positions of internal heat exchanger for CO2 booster refrigeration system: Thermodynamic analysis and annual thermal performance evaluation S Liu, J Wang, B Dai, X Yang, V Nian, H Li, J Yuan International Journal of Refrigeration 131, 1016-1028, 2021 | 24 | 2021 |
Life cycle cost-benefit analysis of refrigerant replacement based on experience from a supermarket project Y Wang, S Liu, V Nian, X Li, J Yuan Energy 187, 115918, 2019 | 24 | 2019 |
Gaussian process based optimization algorithms with input uncertainty H Wang, J Yuan, SH Ng IISE Transactions 52 (4), 377-393, 2020 | 23 | 2020 |
A sequential approach for stochastic computer model calibration and prediction J Yuan, SH Ng Reliability Engineering & System Safety 111, 273-286, 2013 | 22 | 2013 |
Emission reduction measures ranking under uncertainty J Yuan, SH Ng Applied Energy 188, 270-279, 2017 | 21 | 2017 |
Development of a multi-objective decision-making method to evaluate correlated decarbonization measures under uncertainty–The example of international shipping H Hu, J Yuan, V Nian Transport Policy 82, 148-157, 2019 | 20 | 2019 |
A meta model based Bayesian approach for building energy models calibration J Yuan, V Nian, B Su Energy Procedia 143, 161-166, 2017 | 17 | 2017 |
Cost-effectiveness analysis of energy efficiency measures for maritime shipping using a metamodel based approach with different data sources J Yuan, V Nian, J He, W Yan Energy 189, 116205, 2019 | 14 | 2019 |
The prospects of electric vehicles in cities without policy support V Nian, MP Hari, J Yuan Energy Procedia 143, 33-38, 2017 | 13 | 2017 |
Calibration, validation, and prediction in random simulation models: Gaussian process metamodels and a bayesian integrated solution J Yuan, SH Ng ACM Transactions on Modeling and Computer Simulation (TOMACS) 25 (3), 1-25, 2015 | 11 | 2015 |
Evaluating the Rail‐Based Multimodal Freight Transportation after HSR Entry in Yangtze River Delta Economics Zone J He, M Wei, H Yu, J Yuan, Y Chen Scientific programming 2021 (1), 5530343, 2021 | 10 | 2021 |