| Optimising renewable generation configurations of off-grid green ammonia production systems considering Haber-Bosch flexibility C Wang, SDC Walsh, T Longden, G Palmer, I Lutalo, R Dargaville Energy Conversion and Management 280, 116790, 2023 | 48 | 2023 |
| Evaluating the economic fairways for hydrogen production in Australia SDC Walsh, L Easton, Z Weng, C Wang, J Moloney, A Feitz International Journal of Hydrogen Energy 46 (73), 35985-35996, 2021 | 43 | 2021 |
| A taxonomy of models for investigating hydrogen energy systems H Blanco, J Leaver, PE Dodds, R Dickinson, D García-Gusano, ... Renewable and Sustainable Energy Reviews 167, 112698, 2022 | 37 | 2022 |
| Power system decarbonisation with Global Energy Interconnection–a case study on the economic viability of international transmission network in Australasia C Wang, R Dargaville, M Jeppesen Global Energy Interconnection 1 (4), 507-519, 2018 | 34 | 2018 |
| Green steel: Synergies between the Australian iron ore industry and the production of green hydrogen C Wang, SDC Walsh, Z Weng, MW Haynes, D Summerfield, A Feitz International Journal of Hydrogen Energy 48 (83), 32277-32293, 2023 | 24 | 2023 |
| Proximal policy optimization based reinforcement learning for joint bidding in energy and frequency regulation markets M Anwar, C Wang, F De Nijs, H Wang 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 11 | 2022 |
| The economics of public transport electrification: A case study from Victoria, Australia K Say, Z Csereklyei, FG Brown, C Wang Energy Economics 120, 106599, 2023 | 9 | 2023 |
| Australia's power advantage-Energy transition and hydrogen export scenarios F Ueckerdt, R Dargaville, HC Gils, D McConnell, M Meinshausen, ... | 8 | 2019 |
| Modelling Australia’s transition to 100% renewable electricity C Wang, R Dargaville 2019 9th International Conference on Power and Energy Systems (ICPES), 1-6, 2019 | 7 | 2019 |
| Evaluating the economic potential for geological hydrogen storage in Australia SDC Walsh, L Easton, C Wang, AJ Feitz Earth Science, Systems and Society 3, 10074, 2023 | 6 | 2023 |
| From Australian iron ore to green steel: the opportunity for technology-driven decarbonisation C Wang, SDC Walsh, MW Haynes, Z Weng, A Feitz, D Summerfield, ... Resource (Mt) 1, 55, 2022 | 5 | 2022 |
| Deep reinforcement learning for wind and energy storage coordination in wholesale energy and ancillary service markets J Li, C Wang, H Wang Energy and AI 14, 100280, 2023 | 4 | 2023 |
| Evaluating the economic potential for green ammonia pro-duction in Australia C Wang, S Walsh, R Dargaville Int Conf Appl Energy 2021, 1e6, 2021 | 4 | 2021 |
| Innovation and export opportunities of the energy transition R Burdon, L Hughes, M Lord, S Maddedu, F Ueckerdt, C Wang Energy Transition Hub, 2019 | 4 | 2019 |
| Assessing Predictions of Australian Offshore Wind Energy Resources from Reanalysis Datasets E Cowin, C Wang, SDC Walsh Energies 16 (8), 3404, 2023 | 3 | 2023 |
| Learn to bid: Deep reinforcement learning with transformer for energy storage bidding in energy and contingency reserve markets J Li, C Wang, Y Zhang, H Wang Tackling Climate Change with Machine Learning 2022, 1-8, 2022 | 3 | 2022 |
| Optimising Electrolysis Operations under Dynamic Electricity Tariffs: Implications for Emissions and Hydrogen Certification C Wang, S Hamilton, S Walsh, G Palmer Available at SSRN 4673952, 2023 | 2 | 2023 |
| A techno-economic analysis of Australian green steel production from hydrogen C Wang, SDC Walsh, Z Weng, A Feitzb, MW Haynes | 2 | 2021 |
| The effect of inhomogeneous carbon prices on the cost-optimal design of a simplified European power system M Schlott, F Hofmann, R de Oliveira Gomes, A Kies, C Wang 2019 9th International Conference on Power and Energy Systems (ICPES), 1-6, 2019 | 2 | 2019 |
| Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach J Li, C Wang, H Wang 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 1 | 2023 |
