Xiaonan Wang (王笑楠)
Cited by
Cited by
Energy demand side management within micro-grid networks enhanced by blockchain
S Noor, W Yang, M Guo, KH van Dam, X Wang
Applied energy 228, 1385-1398, 2018
Operational optimization and demand response of hybrid renewable energy systems
X Wang, A Palazoglu, NH El-Farra
Applied Energy 143, 324–335, 2015
Review and outlook on the international renewable energy development
L Li, J Lin, N Wu, S Xie, C Meng, Y Zheng, X Wang, Y Zhao
Energy and Built Environment 3 (2), 139-157, 2022
Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
X Zhu, Y Li, X Wang
Bioresource technology 288, 121527, 2019
Sustainable planning of the energy-water-food nexus using decision making tools
N Bieber, JH Ker, X Wang, C Triantafyllidis, KH van Dam, ...
Energy Policy 113, 584-607, 2018
Design and management of a distributed hybrid energy system through smart contract and blockchain
Y Li, W Yang, P He, C Chen, X Wang
Applied Energy 248, 390-405, 2019
The application of machine learning methods for prediction of metal sorption onto biochars
X Zhu, X Wang, YS Ok
Journal of hazardous materials 378, 120727, 2019
Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
J Li, L Pan, M Suvarna, YW Tong, X Wang
Applied Energy 269, 115166, 2020
Prediction of soil heavy metal immobilization by biochar using machine learning
KN Palansooriya, J Li, PD Dissanayake, M Suvarna, L Li, X Yuan, ...
Environmental science & technology 56 (7), 4187-4198, 2022
Applied machine learning for prediction of CO2 adsorption on biomass waste-derived porous carbons
X Yuan, M Suvarna, S Low, PD Dissanayake, KB Lee, J Li, X Wang, ...
Environmental Science & Technology 55 (17), 11925-11936, 2021
The impact of intelligent cyber-physical systems on the decarbonization of energy
O Inderwildi, C Zhang, X Wang, M Kraft
Energy & Environmental Science 13 (3), 744-771, 2020
Organic waste to biohydrogen: a critical review from technological development and environmental impact analysis perspective
H Tian, J Li, M Yan, YW Tong, CH Wang, X Wang
Applied Energy 256, 113961, 2019
Recurrent Neural Network-based Model Predictive Control for Continuous Pharmaceutical Manufacturing
WC Wong, J Li, X Wang, 2018
Online prediction of mechanical properties of hot rolled steel plate using machine learning
Q Xie, M Suvarna, J Li, X Zhu, J Cai, X Wang
Materials & Design 197, 109201, 2021
Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
J Li, X Zhu, Y Li, YW Tong, YS Ok, X Wang
Journal of Cleaner Production 278, 123928, 2021
The COVID-19 pandemic necessitates a shift to a plastic circular economy
X Yuan, X Wang, B Sarkar, YS Ok
Nature Reviews Earth & Environment 2 (10), 659-660, 2021
Two-step machine learning enables optimized nanoparticle synthesis
F Mekki-Berrada, Z Ren, T Huang, WK Wong, F Zheng, J Xie, IPS Tian, ...
npj Computational Materials 7 (1), 55, 2021
Toward the shell biorefinery: processing crustacean shell waste using hot water and carbonic acid
H Yang, G Gözaydın, RR Nasaruddin, JRG Har, X Chen, X Wang, N Yan
ACS Sustainable Chemistry & Engineering 7 (5), 5532-5542, 2019
AI applications through the whole life cycle of material discovery
J Li, K Lim, H Yang, Z Ren, S Raghavan, PY Chen, T Buonassisi, X Wang
Matter 3 (2), 393-432, 2020
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Z Ren, SIP Tian, J Noh, F Oviedo, G Xing, J Li, Q Liang, R Zhu, AG Aberle, ...
Matter 5 (1), 314-335, 2022
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