Evaporation-driven low Reynolds number vortices in a cavity A Babaie, S Madadkhani, B Stoeber Physics of Fluids 26 (3), 2014 | 20 | 2014 |
Bauxite residue as an iron‐based catalyst for catalytic cracking of naphthalene, a model compound for gasification tar S Madadkhani, L Burhenne, X Bi, N Ellis, JR Grace, T Lewis The Canadian Journal of Chemical Engineering 99 (7), 1461-1474, 2021 | 16 | 2021 |
Red mud as an iron-based catalyst for catalytic cracking of naphthalene S Madadkhani University of British Columbia, 2016 | 7 | 2016 |
Toward high-resolution projection of electricity prices: A machine learning approach to quantifying the effects of high fuel and CO2 prices S Madadkhani, S Ikonnikova Energy Economics 129, 107241, 2024 | 1 | 2024 |
What Machine Learning Can Tell Us about the Drivers of Electricity Prices: The Case of Germany S Madadkhani, S Ikonnikova Mapping the Energy Future-Voyage in Uncharted Territory-, 43rd IAEE …, 2022 | | 2022 |
Tackling Climate Change with Machine Learning: Fostering the Maturity of ML Applications for Climate Change S Madadkhani, OM Ramos, M Chapman, J Dunietz, A Ouaknine, ... ICLR 2024 Workshops, 0 | | |
Analyzing the Power Market and Projecting the Future with High Energy and Carbon Prices: A Machine-Learning Approach S Madadkhani, S Ikonnikova | | |