Hai Lin
Hoogleraar Data-analyse voor milieukundig modelleren
- Naam
- Prof.dr.ir. H.X. Lin
- Telefoon
- +31 71 527 7460
- h.x.lin@cml.leidenuniv.nl
- ORCID iD
- 0000-0002-1653-4854
Oud-promovendi
Voor meer informatie, zie de Engelse versie.
Hoogleraar Data-analyse voor milieukundig modelleren
- Wiskunde en Natuurwetenschappen
- Centrum voor Milieuwetenschappen Leiden
- CML/Industriele Ecologie
- Chen Z., Kleijn R. & Lin H.X. (2023), Metal requirements for building electrical grid systems of global wind power and utility-scale solar photovoltaic until 2050, Environmental Science and Technology 57(2): 1080-1091.
- Fang L., Jin J., Segers A., Lin H.X., Pang M., Xiao C., Deng T. & Liao H. (2022), Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China, Geoscientific Model Development 15(20): 7791-7807.
- Wang S., Homem de Almeida Correia G. & Lin H.X. (2022), Modeling the competition between multiple Automated Mobility on-Demand operators: an agent-based approach, Physica A: Statistical Mechanics and its Applications 605: 128033.
- Wang S., Homem de Almeida Correia G. & Lin H.X. (2022), Assessing the potential of the strategic formation of urban platoons for shared automated vehicle fleets, Journal of Advanced Transportation 2022: 1005979.
- Verkaik J., Hughes J.D., Walsum P.E.V. van, Oude Essink G.H.P., Lin H.X. & Bierkens M.F.P. (2021), Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument, Environmental Modelling and Software 143: 105092.
- Verkaik J., Engelen J. van, Huizer S., Bierkens M.F.P., Lin H.X. & Oude Essink G.H.P. (2021), Distributed memory parallel computing of three-dimensional variable-density groundwater flow and salt transport, Advances in Water Resources 154: 103976.
- Lin H.X., Jin J. & Herik H.J. van den (2019), Air quality forecast through integrated data assimilation and machine learning. Rocha A., Steels L. & Herik H.J. van den (red.), Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART 2019. ICAART 2019: 11th International Conference on Agents and Artificial Intelligence 19 februari 2019 - 21 februari 2019 nr. 2: SCITEPRESS. 787-793.
- Dias Rodrigues J.F., Yuan R. & Lin H.X. (2019), The expectations of and covariances between carbon footprints, Economic Systems Research 32(2): 192-201.
- Ye L., Lin H.X. & Tukker A. (2019), Future scenarios of variable renewable energies and flexibility requirements for thermal power plants in China, Energy 167: 708-714.
- Ye L., Rodrigues J.F.D. & Lin H.X. (2017), Analysis of feed-in tariff policies for solar photovoltaic in China 2011–2016, Applied Energy 203: 495-505.
- Rossum A. van, Lin H.X., Dubbeldam J. & Herik H.J. van den (2016), Nonparametric Bayesian Line Detection - Towards Proper Priors for Robotic Computer Vision. Marisco M. de, Baja G.S. di & Fred A. (red.), Proceedings 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016). IPCRAM 2016 24 februari 2016 - 26 februari 2016. Rome: Scitepress. 119-127.
- Rossum A.C., Lin H.X., Dubbeldam J. & Herik H.J. van den (2016), Nonparametric Segment Detection. Pearce D. & Pinto H.S. (red.), STAIRS 2016. STAIRS 2016 29 augustus 2016 - 2 september 2016 nr. vol. 284 Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press. 203-208.
- Onderwijs en Onderzoek